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Article

Analysis of the Effects of Different Factors on Damage Potential Ranking

1
State Key Laboratory of Precision Blasting, Jianghan University, Wuhan 430056, China
2
Hubei Key Laboratory of Blasting Engineering, Jianghan University, Wuhan 430056, China
3
Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(2), 1583; https://doi.org/10.3390/su15021583
Submission received: 16 November 2022 / Revised: 23 December 2022 / Accepted: 11 January 2023 / Published: 13 January 2023

Abstract

:
A quantitative evaluation of the damage potential of ground motions to structures can provide a basis for the selection of input ground motions. To determine the main factors influencing the damage potential ranking of ground motions, the corresponding effect factors were analyzed. First, the structural period range from 0.05 to 10 s was divided into three types of period ranges based on an improved Newmark–Hall spectrum. The intensity measures (IMs) that can characterize the damage potential in every period range were determined. Second, the effect of yield strength coefficient (Cy), vibration period (T), and type of site on the damage potential ranking are explained. A recommended damage potential ranking is given in the same period range. Finally, to demonstrate the rationality of the recommended damage potential ranking in this paper, two representative reinforced concrete (RC) shear structure models are established for analysis. For the same type of structures, the damage potential rankings under different Cy and T conditions have high correlation with the recommended damage potential ranking, and the discreteness is very low. When considering the site factors, the corresponding correlation and dispersion change little. Based on the analysis of two typical structural models, the R2 between the recommended damage potential ranking and structural response ranking were 0.89 and 0.94, respectively. It is proven that the methods of Cy, T, and the type of site are reasonable when establishing the recommended damage potential ranking in this paper. This study provides a theoretical basis for simplifying the evaluation of ground motion damage potential and for selecting input ground motions.

1. Introduction

The damage potential ranking of ground motions refers to ground motions ranked according to the intensity measures (IMs) that can characterize the structural damage subjected to ground motions. An accurate evaluation of the damage potential of ground motions to structures is very important for selecting input ground motions in a seismic design [1,2,3,4,5,6]. When evaluating the damage potential of ground motion to structures, the effects of the seismic factor and structural parameter factor cannot be ignored. This is especially true when the IMs are selected to evaluate the damage potential, which includes both the characteristics of ground motion and structure. When these IMs change, the intensity of the damage potential obtained may also change. Structural parameters mainly include the vibration period (T), yield strength coefficient (Cy), post-yield stiffness ratio (k2), damping ratio (ζ), ductility demand coefficient (u), etc. Some experts have used a response spectrum to evaluate damage potential. The latest papers [7,8] have studied the effects of different hysteretic models on constant-ductility response spectrum by using a large number of ground motion records, and this study mainly analyzed the effects of different T, u, k2, and ζ on the variation of the constant-ductility response spectrum.
Yi et al. [9] compared the advantages and disadvantages of the constant-strength ductility spectrum and constant-ductility strength demand spectrum and concluded that the calculation method of constant-strength ductility spectrum is simpler and does not require iterative calculation. Rosso et al. [10] analyzed the corrosion effects on the capacity and ductility of concrete half-joint bridges. Ji et al. [11] studied the effect of the ductility demand coefficient on the constant-ductility strength demand spectrum, and they found that, with an increase or decrease in the ductility demand coefficient, the strength demand coefficient and the seismic resistance coefficient showed a specific variation law. In addition, the effects of k2, ζ, the hysteretic model, and pinching on the constant-strength ductility demand spectrum were also studied [12,13,14,15].
In addition to studying the effects of structural parameters, the studies [16,17,18,19] also analyzed the effect of seismic information factors on the constant-strength response spectrum and constant-ductility response spectrum. Seismic information mainly includes magnitude, epicenter distance, type of site, etc. Miranda et al. [18,19] explained in detail the effect of magnitude, epicenter distance, and other factors on the constant-ductility response spectrum. Lu et al. [16] studied the effects of the type of site, designed ground motion grouping, and other factors on the constant-strength ductility demand spectrum. When the yield strength coefficient is fixed, the ductility demand spectrum of the structure has great relationships with site condition, designed ground motion grouping, and other factors. It can be concluded that the structural parameters such as Cy and T, and the seismic factors such as the type of site are important factors that must be considered when studying the damage potential of the structure caused by ground motions. Many experts have also conducted studies on this.
The above studies mostly focused on the effects of these factors on the variation law of the elastic–plastic mean response spectrum or median response spectrum; however, few have studied the effects of these factors on the relative variation in damage potential parameters for many ground motions. That is, few experts have studied the effects of these factors on the damage potential ranking of ground motions. Baker [19,20,21,22,23] calculated the correlations of ε at different periods when he selected the input ground motions based on the conditional mean spectrum. This paper mainly focused on the effects of Cy, T, and site factors on the damage potential ranking. Firstly, the period range from 0.05 to 10 s was divided into three period ranges based on the improved Newmark–Hall spectrum. The structures in the same period range were analyzed as the same type of structures, and a recommended damage potential ranking is given to replace all rankings under different Cy and T conditions. Then, we selected the optimal IM to evaluate the damage potential of ground motions for every type of structure rather than an individual structure and studied the effects of the relevant factors on the ranking of damage potential. Finally, two typical multi degree of freedom (MDOF), concrete-reinforced (RC) shear structure models were established to demonstrate the variation law obtained in this paper. The technical framework of this paper is shown in Figure 1.

2. Selection of Ground Motions

The ground motions used in this study were selected from the NGA-West2 database. When studying the effect of Cy, T, and type of site on the damage potential ranking, the ground motion records with larger damage potential should be selected for analysis. Therefore, 5535 horizontal ground motion records with peak ground acceleration (PGA) greater than 0.05 g were selected [24]. The elastic acceleration response spectra of the selected ground motion records are shown in Figure 2. To analyze the effect of the type of site, the site classification of ground motion records is carried out based on Vs30 information and Guo’s [25] method, and the selected ground motion records are divided into four types. The classification criterion and results are shown in Table 1.

3. Period Range Dividing Based on Improved Newmark–Hall Spectrum

When the IMs selected to evaluate the damage potential are related to the vibration period (such as Sa (T1), Sv (T1), Sd (T1), etc.), the damage potential ranking will also change when the period changes. There are countless period points within a certain period range from 0 to 10 s. When T changes within a small period range, the change in the corresponding damage potential ranking is very small. The greater the size of the period range, the more obvious the differences in the damage potential rankings. Therefore, the adjacent periods with small changes in the damage potential ranking of ground motions can be combined into a smaller period range. Additionally, in this period range, the damage potential ranking at a different period changes little, which can be expressed using the same damage potential ranking [26].
The improved Newmark–Hall spectrum has a good application in dividing the structural period range. In the early calibration of the seismic design spectrum, there are relevant applications for solving the empirical expression of a design spectrum [27,28]. This paper also uses the improved Newmark–Hall spectrum [29] to divide the period range. The interest period range from 0.05 to 10 s in this paper, and 200 periods with a period interval of 0.05 s, are selected. Additionally, this period range is divided into three small period ranges: acceleration, velocity, and displacement sensitive period ranges (short-period range, medium-period range, and long-period range). It is assumed that the variation in damage potential rankings of ground motions is very small in the same period range. Therefore, the average value of damage potential IM at different periods of the same period range can be selected to characterize the damage potential of ground motions for structures of the same types. The effect of T in the same structural range is analyzed later in this paper. The principle of the improved Newmark–Hall spectrum to divide the structural period is shown in Equation (1).
C = T = 0 10 C N R S A T 1 + C N R S V T 2 + C N R S D T 3
where C is the variation coefficient, NRSA, NRSV, and NRSD are the acceleration response spectrum, velocity response spectrum, and displacement response spectrum normalized by PGA, PGV and PGD, respectively. There are two boundary period points: t1, t2, 0.05 s < T1 < t1, t1 < T2 < t2, and t2 < T3 < 10 s.
The principle of dividing the period range works as follows: when the value of C is at a minimum, the boundary period point of the three period ranges can be obtained. The dividing range results of the structural period can be seen in Figure 3 and Table 2. NRSC is the distribution of variation coefficient with T based on the improved Newmark–Hall spectrum. The dividing period range results of the short-period range, medium-period range, and long-period range are slightly different from those given in the literature [8] when selecting the most unfavorable designed ground motions.

4. Selection of Damage Potential IMs and Statistical Parameters

According to the relative studies [30,31,32,33,34], the strength damage mainly occurs in the short-period structures subjected to the ground motions, and the acceleration response is generally selected by the engineering demand parameters (EDPs). The ductile damage mainly occurs in the medium-period and long-period structures subjected to the ground motions, and the displacement response is generally selected as the EDP. Therefore, the corresponding inelastic acceleration response spectrum mean value Sa (Tave, Cy ave) and displacement response spectrum mean value Sd (T ave, Cy ave) of a single degree of freedom (SDOF) are studied as the damage potential IMs of ground motions. The Cy reflects the nonlinear degree of the structures subjected to ground motions. Sa (Tave, Cy ave) and Sd (T ave, Cy ave) are the average values of damage potential IMs under different Cy and T conditions in the same period range. This paper also demonstrates and analyzes the rationality of the selected IMs. A bilinear model was selected as the nonlinear model, and the hysteretic skeleton curve is shown in Figure 4. fy is the yield strength, K0 is the initial stiffness, k2 is the post-yield stiffness ratio, uy is the yield displacement, and umax is the maximum displacement. To accurately evaluate the effect of Cy, T, and the type of site on the damage potential ranking, the Spearman correlation coefficient (R), standard deviation (δ), and determination coefficient (R2) are used in this paper to describe the correlation and discreteness of two variables [35].

5. Analysis of the Effects of Different Factors on the Damage Potential Ranking

In this paper, the recommended damage potential ranking is used to predict the structural response ranking, which refers to the relative measure of the structural response caused by different ground motions, rather than the traditional specific prediction equation for the structural response of a case. It is usually assumed that the structural response and IMs of the ground motion demand the following models in traditional methods.
log 10 E D P = a * log 10 I M + b
The structural response of only one structure can be predicted by using this prediction equation, and the prediction equation will change when the structure changes. However, this paper aimed to predict the response ranking of all structures in a specific period range using the recommended damage potential ranking. In this paper, the period range from 0 to 10 s is divided into three period ranges based on the Newmark–Hall spectrum. The specific practices are as follows. Firstly, a group of ground motions are ranked according to the values of damage potential and structural response to obtain two kinds of ranking results, RIM and REDP. If the damage potential can fully characterize the structural response, then the following equation holds.
R I M = R E D P
This situation generally does not exist because there is little discreteness and a strong correlation between the two ranking results when the IM can better predict the structural response.

5.1. Effects of Cy and T

To analyze the effect of Cy and T on the damage potential ranking, 5535 ground motion records are used for correlation analysis. The calculated R and δ results of the recommended damage potential ranking in the short-period, medium-period, and long-period ranges and the damage potential ranking under different Cy and T conditions of the same period ranges are shown in Figure 5. The average values of R and δ of the structures of the same types are shown in Table 3. From the results, it can be concluded that the R between the recommended damage potentials ranking and the damage potentials rankings under different Cy and T conditions of the same period range was more than 0.8, and the average value was more than 0.9; therefore, the correlation was very strong. The average δ was about 0.2, which proves that the dispersion is very small, and the damage potential of multiple periods in the same period range can be replaced by their average values. Therefore, Sa (Tave, Cy ave) and Sd (T ave, Cy ave) are reasonable as the recommended damage potential IMs in the same period range.

5.2. Effect of Type of Site

The site conditions are closely related to the characteristic period of the ground motions. When the natural vibration period of the structure is close to the characteristic period of the ground motion, the resonance effect will occur, which will strongly increase the structural response. To analyze the effect of the site category on the damage potential ranking, the discreteness and correlation analysis between the damage potential recommended ranking and the damage potential ranking under different Cy and T conditions in the same period range are calculated in each type of site, and the calculated results are shown in Figure 6 and Figure 7. The results are compared with those that do not consider the site factor in Figure 5. The calculated R and δ results between the recommended damage potential ranking and the damage potential ranking under different Cy and T conditions in the same period range are shown in Table 4. It can be concluded from the results that, for the same types of structures, whether site factors are considered or not, the R and δ results showed little change. The statistical results show that the site factors have little effect on the correlation and discreteness of the recommended damage potential ranking and the ranking under different Cy and T conditions. Therefore, it is unnecessary to consider site factors when selecting recommended input ground motions based on the damage potential ranking of ground motions.
It is worth noting that the site factor is considered as a very important effect factor when selecting input ground motions for a seismic design [24,36]. The main reason for this is that the characteristics of ground motion are greatly affected by the site factor, and a resonance effect will occur when the natural vibration period of the structure is close to the characteristic period of ground motion. However, the structural response of the SDOF system is directly used as the damage potential IMs of ground motion in this paper, and the natural vibration period of the same type of structures are similar. If the resonance response occurs, the resonance response will be generated for all structures of the same types. Thus, the correlation and dispersion results are hardly affected by these types of sites.

6. Rationality Demonstration Based on MDOF Shear Structures

6.1. Structural Models

In this paper, the period range from 0 to 10 s is divided into a short-period range, a medium-period range, and a long-period range based on the improved Newmark–Hall spectrum. At the same time, the effects of Cy, T, and the type of site on the damage potential IMs in each type of structure are analyzed, and some rules are obtained from the analysis results. However, are these variation laws also applicable to MDOF structures? This paper establishes two MDOF structural models for detailed demonstration based on the improved I–M–K model with reference to the relevant literature [37,38]. Additionally, the shear structural models of 8- and 12-story RC structures are established. The hysteretic skeleton line and structure model of the structure are shown in Figure 8. The relevant structure parameter settings are shown in Table 5. Additionally, in this table, T1 is the natural vibration period of the structure. It can be obtained that both structures belong to the medium-period structure: Hi is the height of each story of the structure, and Wi is the weight of each story of the structure. Kei is the initial stiffness of each story of the structure. Fyi is the yield strength of each story of the structure, as is the stiffness ratio of the strengthening section of each story of the structure, and ac is the stiffness ratio of the softening section of each story of the structure.

6.2. Rationality Demonstration

To demonstrate the effects of Cy, T, and the type of site on the damage potential ranking, 5535 ground motion records were input into the 8-story and 12-story RC shear structures for nonlinear analysis. The correlation between the damage potential ranking and the structural response ranking was quantitatively evaluated by the R2. The effects of Cy and T on the correlation results is shown in Figure 9. It can be obtained that, in the medium-period range, when the Cy is constant and the T changes, the R2 changes obviously, and the R2 is maximal at the natural vibration period T1 of the structure. When the Cy changes with the constant period, the R2 changes much less. Additionally, R2 ranges from 0.63 to 0.88, indicating a strong correlation between the damage potential ranking and the structural response ranking. It can also be seen in the results that the R2 between the damage potential ranking based on Sd (Tave, Cy ave) and the structural response rankings of the 8-story and 12-story RC structures are both very high, with R2 values of 0.89 and 0.94, respectively. Therefore, it is reasonable to use Sd (Tave, Cy ave) as the damage potential ranking of the medium-period structure. Figure 10 shows the correlation results of the damage potential ranking and structural response ranking based on ground motions in type I and III sites. For the specific structure, the R2 of the type I site is slightly higher than that of type III site. However, the R2 is above 0.8, and the correlation is very strong. Therefore, it can be concluded that, when ranking ground motions based on damage potential IMs, the effects of the site factor on damage potential ranking need not be considered.

7. Conclusions

The structural period range was firstly divided based on the improved Newmark–Hall spectrum and 5535 horizontal ground motion records were used for the analysis. In structures of the same types, the correlation and discreteness analysis between the recommended damage potential ranking of ground motions and the damage potential ranking under different Cy and T conditions in the same period range were analyzed, and two shear structures were established to demonstrate the effect of the obtained variation law, and the following conclusions were obtained.
(1)
Based on the improved Newmark–Hall spectrum, the structure period range from 0 to 10 s is divided into three period ranges: short-period range (T < 0.40 s), medium-period range (0.40 s ≤ T < 1.55 s), and long-period range (T ≥ 1.55 s);
(2)
The recommended damage potential ranking and the damage potential ranking under different Cy and T conditions in the same period range has a large correlation, and the dispersion is small. The Cy and T have small effects on the damage potential ranking of ground motions in each period range, and the selected damage potential IMs are reasonable;
(3)
For the same types of structures, whether site factors are considered or not, the discreteness and correlation analysis between the recommended damage potential ranking of ground motions and the damage potential ranking under different Cy and T conditions are a little different. Therefore, it is unnecessary to consider the site factor when ranking the damage potential of ground motions;
(4)
Through the analysis of two shear structures, the R2 of the damage potential ranking and structure response ranking were found to be 0.89 and 0.94, respectively, which proves that the solution method of Cy, T, and the type of site in this paper is reasonable when establishing damage potential ranking.
It is worth noting that the recommended damage potential ranking in the medium-period range has been demonstrated. It is also necessary to verify the recommended damage potential rankings in short- and long-period ranges based on representative MDOF structures in a further study.

Author Contributions

Conceptualization, Q.L. and J.H.; methodology, L.X. (Lili Xie); software, Q.L.; validation, Q.L., J.H., L.X. (Lili Xie) and L.X. (Longjun Xu); formal analysis, L.X. (Longjun Xu); investigation, Q.L.; resources, Q.L.; data curation, Q.L.; writing—original draft preparation, Q.L.; writing—review and editing, J.H.; visualization, J.H.; supervision, L.X. (Lili Xie); project administration, L.X. (Longjun Xu); funding acquisition, L.X. (Longjun Xu). All authors have read and agreed to the published version of the manuscript.

Funding

The work is supported by the National Natural Science Foundation of China (Grant No. U2139207; U1939210).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The work is supported by the National Natural Science Foundation of China (Grant No. U2139207; U1939210). The support is gratefully acknowledged. The authors would also like to thank the NGA-West2 database for providing the strong ground motion data.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Technical framework of this paper.
Figure 1. Technical framework of this paper.
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Figure 2. Acceleration response spectrum of selected ground motion records (ζ = 0.05).
Figure 2. Acceleration response spectrum of selected ground motion records (ζ = 0.05).
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Figure 3. Structural period dividing results based on an improved Newmark–Hall spectrum.
Figure 3. Structural period dividing results based on an improved Newmark–Hall spectrum.
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Figure 4. Bilinear hysteretic skeleton curve used in this paper.
Figure 4. Bilinear hysteretic skeleton curve used in this paper.
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Figure 5. Correlation and discreteness analysis results between the recommended damage potential ranking and damage potential ranking under different Cy and T conditions: (a) correlation analysis result; (b) discreteness analysis result.
Figure 5. Correlation and discreteness analysis results between the recommended damage potential ranking and damage potential ranking under different Cy and T conditions: (a) correlation analysis result; (b) discreteness analysis result.
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Figure 6. The correlation results between the recommended damage potential ranking and the damage potential ranking under different Cy and T conditions on different sites: (a) type I site; (b) type II site; (c) type III site; (d) type IV site.
Figure 6. The correlation results between the recommended damage potential ranking and the damage potential ranking under different Cy and T conditions on different sites: (a) type I site; (b) type II site; (c) type III site; (d) type IV site.
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Figure 7. Discreteness results between the recommended damage potential ranking and the damage potential ranking under different Cy and T conditions on different sites: (a) type I site; (b) type II site; (c) type III site; (d) type IV site.
Figure 7. Discreteness results between the recommended damage potential ranking and the damage potential ranking under different Cy and T conditions on different sites: (a) type I site; (b) type II site; (c) type III site; (d) type IV site.
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Figure 8. Hysteretic skeleton line and structural model of reinforced concrete shear structure: (a) hysteretic skeleton line; (b) structural model.
Figure 8. Hysteretic skeleton line and structural model of reinforced concrete shear structure: (a) hysteretic skeleton line; (b) structural model.
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Figure 9. Correlation analysis of damage potential ranking and structural response corresponding to different T and Cy: (a) 8−story; (b) 12−story.
Figure 9. Correlation analysis of damage potential ranking and structural response corresponding to different T and Cy: (a) 8−story; (b) 12−story.
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Figure 10. Correlation analysis between damage potential ranking and structural response ranking on different sites: (a) type I site (8−story); (b) type III site (8−story); (c) type I site (12−story); (d) type III site (12−story).
Figure 10. Correlation analysis between damage potential ranking and structural response ranking on different sites: (a) type I site (8−story); (b) type III site (8−story); (c) type I site (12−story); (d) type III site (12−story).
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Table 1. Site classification results of ground motion records based on Vs30.
Table 1. Site classification results of ground motion records based on Vs30.
Type of SitesRange of Vs30 (m·s−1)Number
Type I siteVs30 > 550846
Type II site265 < Vs30 < 5503646
Type III site165 < Vs30 < 265979
Type IV siteVs30 ≤ 16564
Table 2. Structural period dividing results based on improved Newmark–Hall spectrum.
Table 2. Structural period dividing results based on improved Newmark–Hall spectrum.
Short-Period RangeMedium-Period RangeLong-Period Range
T < 0.40 s0.40 s ≤ T < 1.55 sT ≥ 1.55 s
Table 3. Mean correlation coefficient and standard deviation between recommended damage potential ranking and damage potential ranking under different Cy and T conditions.
Table 3. Mean correlation coefficient and standard deviation between recommended damage potential ranking and damage potential ranking under different Cy and T conditions.
CyShort-Period RangeMedium-Period RangeLong-Period Range
RδRδRδ
Cy = 0.30.9210.2250.9630.1550.9800.106
Cy = 0.50.9110.2390.9600.1520.9790.110
Cy = 0.70.9030.2490.9510.1630.9770.114
Cy = 0.90.9010.2520.9420.1770.9750.119
Average0.9090.2410.9540.1620.9780.111
Table 4. Mean correlation coefficient and standard deviation between recommended damage potential ranking and damage potential ranking under different Cy and T conditions on different sites (p < 0.05).
Table 4. Mean correlation coefficient and standard deviation between recommended damage potential ranking and damage potential ranking under different Cy and T conditions on different sites (p < 0.05).
Site FactorShort-Period RangeMedium-Period RangeLong-Period Range
RδRδRδ
Type I site0.8650.2130.9660.1550.9720.123
Type II site0.9060.2430.9550.1600.9780.115
Type III site0.9370.2630.9180.1780.9730.118
Type IV site0.9530.2330.9090.1900.9580.148
Not consider site factor0.9150.2430.9370.1630.9700.113
Table 5. Correlative structural parameters of improved I–M–K hysteretic model.
Table 5. Correlative structural parameters of improved I–M–K hysteretic model.
Structural ModelsStoryT1 (s)Hi (mm)Wi (kg)Kei
(kN·mm−1)
Fyi (kN)asacuc/uyξ
8-story1–80.82330060010030000.05−0.0550.05
12-story1–121.24330060010030000.05−0.0550.05
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Lai, Q.; Hu, J.; Xie, L.; Xu, L. Analysis of the Effects of Different Factors on Damage Potential Ranking. Sustainability 2023, 15, 1583. https://doi.org/10.3390/su15021583

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Lai Q, Hu J, Xie L, Xu L. Analysis of the Effects of Different Factors on Damage Potential Ranking. Sustainability. 2023; 15(2):1583. https://doi.org/10.3390/su15021583

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Lai, Qinghui, Jinjun Hu, Lili Xie, and Longjun Xu. 2023. "Analysis of the Effects of Different Factors on Damage Potential Ranking" Sustainability 15, no. 2: 1583. https://doi.org/10.3390/su15021583

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