Earthquake Spectra最新文献

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Effects of probability model misspecification on the number of ground motions required for seismic performance assessment 概率模型错误规范对地震性能评估所需地面运动次数的影响
IF 5 2区 工程技术
Earthquake Spectra Pub Date : 2024-07-30 DOI: 10.1177/87552930241262044
Chenhao Wu, Henry V Burton
{"title":"Effects of probability model misspecification on the number of ground motions required for seismic performance assessment","authors":"Chenhao Wu, Henry V Burton","doi":"10.1177/87552930241262044","DOIUrl":"https://doi.org/10.1177/87552930241262044","url":null,"abstract":"The number of ground motions used in nonlinear response history analysis (NRHA) determines the precision of the parameter estimates obtained in seismic performance assessments. While this issue has been extensively studied in the earthquake engineering literature, the relationship of probability model misspecification to parameter estimation uncertainty, and the implication to the required number of ground motions needed for NRHA, has not been examined. Probability model misspecification has the potential to increase estimation uncertainty and hence requires a greater number of ground motions to achieve the same precision compared to when misspecification is disregarded. This study develops a procedure to determine the required number of ground motions in seismic code-prescriptive and risk-based assessments with possible probability model misspecification. Specifically, we employ the quasi-maximum likelihood estimation (QMLE), which is robust to probability model misspecification, to evaluate estimation uncertainty. The QMLE approach is applied to an archetype California bridge under the two seismic assessment scenarios. In the code-prescriptive assessment, misspecification errors are identified for dispersion estimates of the bridge column ductility demand. In the most extreme case of the risk-based evaluation, misspecification increases the estimation uncertainty of the mean annual frequency of exceeding a limit state by as much as three times, which substantially increases the required number of ground motions. Based on the findings from this study, we advocate for the use of QMLE to detect and rectify the implications of model misspecification to estimation uncertainty and the number of ground motions used in probabilistic seismic performance assessments.","PeriodicalId":11392,"journal":{"name":"Earthquake Spectra","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Large-scale building damage assessment based on recurrent neural networks using SAR coherence time series: A case study of 2023 Turkey–Syria earthquake 基于利用合成孔径雷达相干时间序列的递归神经网络的大规模建筑物损坏评估:2023 年土耳其-叙利亚地震案例研究
IF 5 2区 工程技术
Earthquake Spectra Pub Date : 2024-07-30 DOI: 10.1177/87552930241262761
Yanchen Yang, Chou Xie, Bangsen Tian, Yihong Guo, Yu Zhu, Ying Yang, Haoran Fang, Shuaichen Bian, Ming Zhang
{"title":"Large-scale building damage assessment based on recurrent neural networks using SAR coherence time series: A case study of 2023 Turkey–Syria earthquake","authors":"Yanchen Yang, Chou Xie, Bangsen Tian, Yihong Guo, Yu Zhu, Ying Yang, Haoran Fang, Shuaichen Bian, Ming Zhang","doi":"10.1177/87552930241262761","DOIUrl":"https://doi.org/10.1177/87552930241262761","url":null,"abstract":"The Turkey–Syria earthquakes that occurred on February 6, 2023, have caused significant human casualties and economic damage. Emergency services require quick and accurate assessments of widespread building damage in affected areas. This can be facilitated by using remote sensing methods, specifically all-day and all-weather Synthetic Aperture Radar (SAR). In this study, we aimed to improve the detection of building anomalies in earthquake-affected areas using SAR images. To achieve this, we employed Recurrent Neural Network (RNN) to train coherence time series and predict co-seismic coherence. This approach allowed us to generate a Damage Proxy Map (DPM) for building damage assessment. The results of our study indicated that the estimated proportion of building damage in Kahramanmaras was approximately 24.08%. These findings were consistent with the actual damage observed in the field. Moreover, when utilizing the mean and standard deviation of coherence time series, our method achieved higher accuracy (0.761) and a lower false alarm rate (0.136) compared to directly using coherence with only two views of SAR data. Overall, our study demonstrates that this method provides an accurate and reliable approach for post-earthquake building damage assessment.","PeriodicalId":11392,"journal":{"name":"Earthquake Spectra","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Seismic performance and damage assessment of bridges during the 2023 Kahramanmaras, Türkiye earthquakes (Mw = 7.8, Mw = 7.6) 2023 年土耳其卡赫拉曼马拉什地震(Mw = 7.8,Mw = 7.6)期间桥梁的抗震性能和损坏评估
IF 3.1 2区 工程技术
Earthquake Spectra Pub Date : 2024-07-27 DOI: 10.1177/87552930241262043
Selcuk Bas, Jeffrey Hunt, B. Gencturk, Ezra Jampole, Y. B. Sonmezer, Brent Chancellor, Patrick C. Bassal, Murat Celiker, N. Apaydın, Halil Sezen
{"title":"Seismic performance and damage assessment of bridges during the 2023 Kahramanmaras, Türkiye earthquakes (Mw = 7.8, Mw = 7.6)","authors":"Selcuk Bas, Jeffrey Hunt, B. Gencturk, Ezra Jampole, Y. B. Sonmezer, Brent Chancellor, Patrick C. Bassal, Murat Celiker, N. Apaydın, Halil Sezen","doi":"10.1177/87552930241262043","DOIUrl":"https://doi.org/10.1177/87552930241262043","url":null,"abstract":"This article presents a summary of the damage observed in bridges in the regions affected by the 6 February 2023 Kahramanmaras, Türkiye earthquake sequence. A bridge database was developed based on the observations from multiple reconnaissance groups that visited the bridges. These reconnaissance groups collectively visited 140 individual bridges that were subjected to various intensities of ground shaking. The severity of the observed damage ranged from no damage to total collapse. The types of damage to bridge components mainly included cracking and shifting of abutments, failure of pier cap shear blocks, shifting or dislodging of bearing pads, cracking of girders and loss of prestress, plastic hinging at pier bases, residual pier drift, and distress to deck surfaces, handrails, and carried utilities. Recorded and estimated seismic intensity measures are presented for each bridge site, and statistical information and correlations were developed considering the intensity of shaking, bridge parameters, and observed damage. Observations from a few visited sites are presented as case studies to illustrate the common failure mechanisms. The bridge database and presented results are expected to serve as a reference for further analysis, such as statistical verification, correlation, or damage estimations, and discussion regarding the mitigation of the observed vulnerabilities of bridges in Türkiye and those with similar construction worldwide.","PeriodicalId":11392,"journal":{"name":"Earthquake Spectra","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141797334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Accounting for ground-motion uncertainty in empirical seismic fragility modeling 在地震脆性经验建模中考虑地动的不确定性
IF 5 2区 工程技术
Earthquake Spectra Pub Date : 2024-07-25 DOI: 10.1177/87552930241261486
Lukas Bodenmann, Jack W Baker, Božidar Stojadinović
{"title":"Accounting for ground-motion uncertainty in empirical seismic fragility modeling","authors":"Lukas Bodenmann, Jack W Baker, Božidar Stojadinović","doi":"10.1177/87552930241261486","DOIUrl":"https://doi.org/10.1177/87552930241261486","url":null,"abstract":"Seismic fragility models provide a probabilistic relation between ground-motion intensity and damage, making them a crucial component of many regional risk assessments. Estimating such models from damage data gathered after past earthquakes is challenging because of uncertainty in the ground-motion intensity the structures were subjected to. Here, we develop a Bayesian estimation procedure that performs joint inference over ground-motion intensity and fragility model parameters. When applied to simulated damage data, the proposed method can recover the data-generating fragility functions, while the traditionally used method, employing fixed, best-estimate, intensity values, fails to do so. Analyses using synthetic data with known properties show that the traditional method results in flatter fragility functions that overestimate damage probabilities for low-intensity values and underestimate probabilities for large values. Similar trends are observed when comparing both methods on real damage data. The results suggest that neglecting ground-motion uncertainty manifests in apparent dispersion in the estimated fragility functions. This undesirable feature can be mitigated through the proposed Bayesian procedure.","PeriodicalId":11392,"journal":{"name":"Earthquake Spectra","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141784864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Damage to stone masonry buildings in historical centers due to the 2023 earthquake sequence in Turkey 土耳其 2023 年地震序列对历史中心石砌建筑造成的破坏
IF 5 2区 工程技术
Earthquake Spectra Pub Date : 2024-07-25 DOI: 10.1177/87552930241260263
Elizabeth Vintzileou, Vasiliki Palieraki
{"title":"Damage to stone masonry buildings in historical centers due to the 2023 earthquake sequence in Turkey","authors":"Elizabeth Vintzileou, Vasiliki Palieraki","doi":"10.1177/87552930241260263","DOIUrl":"https://doi.org/10.1177/87552930241260263","url":null,"abstract":"Unreinforced stone masonry buildings represent a significant part of the building stock in the areas affected by the recent devastating earthquakes of 6 February 2023 in Turkey. Most of them were built before 2000, and, hence, they are not compliant with current seismic provisions. Severe damage or collapse was observed in a large number of low-rise stone masonry buildings, including many listed as monuments ones. The structural systems of masonry buildings in the historical center of two cities (namely, Gaziantep and Antakya) are presented herein, along with the typical damage observed. The causes of damage are qualitatively interpreted, wherever relevant evidence is available. To this purpose, the observed damage is compared to that occurred in other parts of the world, in structural systems similar to those of the area affected. Furthermore, the detrimental effect of inadequate pre-earthquake interventions is identified, while a critical discussion regarding frequently applied interventions, and the availability of design rules in current Codes and Guidelines, is initiated to pave the way toward efficient measures to be taken for the protection of surviving stone masonry buildings in Turkey and beyond.","PeriodicalId":11392,"journal":{"name":"Earthquake Spectra","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Probabilistic curvature limit states of corroded circular RC bridge columns: Data-driven models and application to lifetime seismic fragility analyses 腐蚀圆形 RC 桥柱的概率曲率极限状态:数据驱动模型及其在寿命期地震脆性分析中的应用
IF 5 2区 工程技术
Earthquake Spectra Pub Date : 2024-07-25 DOI: 10.1177/87552930241255091
Bo Xu, Xiaowei Wang, Chuang-Sheng Walter Yang, Yue Li
{"title":"Probabilistic curvature limit states of corroded circular RC bridge columns: Data-driven models and application to lifetime seismic fragility analyses","authors":"Bo Xu, Xiaowei Wang, Chuang-Sheng Walter Yang, Yue Li","doi":"10.1177/87552930241255091","DOIUrl":"https://doi.org/10.1177/87552930241255091","url":null,"abstract":"Reinforcement corrosion has been recognized as an influential factor in the seismic fragility, both demand and capacity models, of aging reinforced concrete (RC) bridges. For capacity models, accurate and applied prediction tools accounting for aging effects are yet to be well established. Current practices usually perform numerical analyses to obtain time-variant capacity models, which are time-consuming particularly when multi-source structural and environmental uncertainties are considered and sometimes even suffer computational non-convergence. To address these issues, this study leverages a rigorously optimized artificial neural network architecture to develop data-driven models for rapid estimates of probabilistic curvature capacity of corroded circular RC bridge columns with flexural failure modes. An extensive database of multi-level curvature limit states (i.e. slight, moderate, severe, and complete) is created through experimentally validated moment–curvature analyses. A new threshold for the moderate limit state is defined based on the strain of core concrete, rather than cover concrete, to account for the potential full erosion of the cover with drastic corrosion. The data-driven probabilistic capacity models are applied to aid the lifetime seismic fragility assessment of a typical highway bridge, where the spectral acceleration at 1.0 s (Sa-10), peak ground velocity (PGV), and Housner intensity (HI) are found consistently, for the first time, as optimal intensity measures for probabilistic demand modeling of RC columns with different extents of aging effects. For the ease of application, the database and code for the data-driven probabilistic capacity models are accessible at https://bit.ly/3uAa8EY .","PeriodicalId":11392,"journal":{"name":"Earthquake Spectra","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Novel approach for energy-spectrum-based probabilistic seismic hazard analysis in regions with limited strong earthquake data 在强震数据有限的地区进行基于能谱的概率地震灾害分析的新方法
IF 5 2区 工程技术
Earthquake Spectra Pub Date : 2024-07-24 DOI: 10.1177/87552930241263621
Haizhong Zhang, Rui Zhang, Yan-Gang Zhao
{"title":"Novel approach for energy-spectrum-based probabilistic seismic hazard analysis in regions with limited strong earthquake data","authors":"Haizhong Zhang, Rui Zhang, Yan-Gang Zhao","doi":"10.1177/87552930241263621","DOIUrl":"https://doi.org/10.1177/87552930241263621","url":null,"abstract":"With the rapid development of energy-based seismic design, probabilistic seismic hazard analysis (PSHA) in terms of the input energy spectrum, E<jats:sub> I</jats:sub>, has become increasingly important. Generally, implementing E<jats:sub> I</jats:sub>-based PSHA requires a ground-motion prediction equation (GMPE) for E<jats:sub> I</jats:sub>. However, although a GMPE for E<jats:sub> I</jats:sub> can be constructed in regions with abundant earthquake data based on regression analyses, it is difficult to obtain in regions lacking strong ground-motion records. Therefore, this study proposes a new approach for performing E<jats:sub> I</jats:sub>-based PSHA in regions with limited earthquake data. Instead of using a GMPE for E<jats:sub> I</jats:sub> directly, a model of Fourier amplitude spectrum (FAS) is adopted, which can be determined using a small number of earthquake data with small-to-moderate magnitudes. Then, the E<jats:sub> I</jats:sub> of the ground motion is obtained from FAS based on the relationship between E<jats:sub> I</jats:sub> and FAS. Furthermore, to calculate the annual intensity exceedance rate within the proposed framework of adopting the FAS model, a highly efficient method, namely, the moment method, is applied. Several numerical examples indicate that the proposed approach not only is suitable for regions lacking strong ground-motion records but also performs very efficiently in calculating the annual intensity exceedance rate.","PeriodicalId":11392,"journal":{"name":"Earthquake Spectra","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fragility-based seismic assessment of traditional masonry buildings on Azores (Portugal) using simulated ground-motion records 利用模拟地动记录对亚速尔群岛(葡萄牙)传统砖石结构建筑进行基于易损性的地震评估
IF 5 2区 工程技术
Earthquake Spectra Pub Date : 2024-07-24 DOI: 10.1177/87552930241256287
Vasco Bernardo, Shaghayegh Karimzadeh, Daniel Caicedo, Sayed Mohammad Sajad Hussaini, Paulo B Lourenço
{"title":"Fragility-based seismic assessment of traditional masonry buildings on Azores (Portugal) using simulated ground-motion records","authors":"Vasco Bernardo, Shaghayegh Karimzadeh, Daniel Caicedo, Sayed Mohammad Sajad Hussaini, Paulo B Lourenço","doi":"10.1177/87552930241256287","DOIUrl":"https://doi.org/10.1177/87552930241256287","url":null,"abstract":"Traditional unreinforced masonry structures are extremely vulnerable to seismic events, featuring large losses in many countries worldwide. This study focuses on the seismic assessment of a traditional masonry structures located in Faial Island—Azores (Portugal), which was hit by an earthquake of M<jats:sub> w</jats:sub> = 6.2 on 9 July 1998. A set of analyses was conducted through a probabilistic performance-based seismic approach, employing a stochastic finite-fault ground-motion simulation method to derive region-specific records and nonlinear numerical models to compute the capacity of the building. Subsequently, analytical fragility curves were derived considering different seismic scenarios. The results show a significant probability of the structural typology to reach moderate to extensive damage in the case of the specific earthquake, as observed in reality. The study holds significant importance in regions with limited recorded seismic activity, as they offer potential benefits for seismic risk management and mitigation strategies.","PeriodicalId":11392,"journal":{"name":"Earthquake Spectra","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Performance of hydraulic structures during 6 February 2023 Kahramanmaraş, Türkiye, earthquake sequence 2023 年 2 月 6 日土耳其卡赫拉曼马拉什地震序列中水力结构的性能
IF 5 2区 工程技术
Earthquake Spectra Pub Date : 2024-07-24 DOI: 10.1177/87552930241258295
Kemal Onder Cetin, Faik Cuceoglu, Bilal Umut Ayhan, Sefa Yildirim, Seckin Aydin, Sarper Demirdogen, Yasemin Er, Ayhan Gurbuz, Robb Eric S Moss
{"title":"Performance of hydraulic structures during 6 February 2023 Kahramanmaraş, Türkiye, earthquake sequence","authors":"Kemal Onder Cetin, Faik Cuceoglu, Bilal Umut Ayhan, Sefa Yildirim, Seckin Aydin, Sarper Demirdogen, Yasemin Er, Ayhan Gurbuz, Robb Eric S Moss","doi":"10.1177/87552930241258295","DOIUrl":"https://doi.org/10.1177/87552930241258295","url":null,"abstract":"The earthquake sequence that occurred on 6 February 2023 in Türkiye, Kahramanmaraş, had a significant impact on 140 dams, most of which are located within a distance of 50 km from surface projection of the fault rupture. These dams experienced moderate to high levels of seismic intensity, with peak ground acceleration (PGA) estimated to vary between 0.1 and 1.3 g during the Pazarcık earthquake and 0.15 to 0.45 g during the Elbistan earthquake, depending on their proximity to the fault rupture. Although all dams were able to maintain water-retaining capabilities, some of them suffered from moderate to large permanent deformations. As part of the emergency response measures, the water levels at two of these dams, namely Sultansuyu and Arıklıkaş, were lowered in a controlled manner. Following the earthquakes, a comprehensive survey of all hydraulic structures within the influence zone was conducted, and the findings are represented in this study. These findings revealed that earthfill and rockfill dams sustained more significant damage compared with concrete dams, particularly in areas close to the fault rupture, where the shaking intensity was most pronounced. The amount of permanent displacements was observed to consistently increase with the height of the dam’s transverse section.","PeriodicalId":11392,"journal":{"name":"Earthquake Spectra","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adjusting Central and Eastern United States ground-motion models for use in the Coastal Plain considering the sediment thickness 考虑沉积厚度,调整美国中部和东部地动模型,以便在沿海平原使用
IF 5 2区 工程技术
Earthquake Spectra Pub Date : 2024-07-24 DOI: 10.1177/87552930241258354
Mohsen Akhani, Mehran Davatgari-Tafreshi, Shahram Pezeshk
{"title":"Adjusting Central and Eastern United States ground-motion models for use in the Coastal Plain considering the sediment thickness","authors":"Mohsen Akhani, Mehran Davatgari-Tafreshi, Shahram Pezeshk","doi":"10.1177/87552930241258354","DOIUrl":"https://doi.org/10.1177/87552930241258354","url":null,"abstract":"This study aims to develop adjustment factors for ground-motion models such as Pezeshk et al., which were developed for regions outside the Coastal Plain to be used for sites within the Coastal Plain region. The adjustment factors developed are a function of sediment thickness and rupture distance [Formula: see text] in the Coastal Plain region. We use the newly developed sediment thickness contour maps by Boyd et al. Also, the adjustment factors are developed using a combined data set, which consists of the Next Generation Attenuation (NGA)-East original data set, the data set from Chapman and Guo, and the newly compiled and verified data set by Thompson et al. We calculate residuals by taking the difference between the logarithms of the observed data and those predicted by the Pezeshk et al. ground-motion model (GMM), considering the site amplification model of Stewart et al. and utilizing the combined data set. This model is applicable for [Formula: see text] as far as 1000 km. We perform residual analyses using a mixed-effects regression to partition the total residuals into between-event and within-event components. To develop the correction factors for stations within the Coastal Plain region, we fit the within-event residuals to an equation that is a function of sediment thickness and [Formula: see text]. The results indicate that for stations within the Coastal Plain region, for most periods, the residual trend has been eliminated (with respect to sediment thickness, [Formula: see text], and time-averaged shear wave velocity in the first 30 m under the surface, V<jats:sub> S30</jats:sub>) using the proposed adjustment factors. The results of this study can be utilized in seismic hazard and risk analyses for sites within the Coastal Plain.","PeriodicalId":11392,"journal":{"name":"Earthquake Spectra","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141784865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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