{"title":"基于pdem的随机地震作用下圆形隧道抗震性能评价","authors":"Zhong-Kai Huang, Chao-Lie Ning, Dong-Mei Zhang, Hong-Wei Huang, Dong-Ming Zhang, Sotirios Argyroudis","doi":"10.1080/17499518.2023.2257171","DOIUrl":null,"url":null,"abstract":"ABSTRACTTunnels are a vital component of urban infrastructure that must be robust against seismic hazards. Given the randomness of earthquake occurrence, the seismic response of tunnel structures mut be studied by stochastic analysis methods. To this end, this study proposes a probability density evolution method (PDEM)-based framework to investigate the seismic performance of a circular tunnel under stochastic earthquake excitation. First, a suite of nonstationary earthquake motions compatible with the seismic design code was derived using a stochastic earthquake model. Then, a series of nonlinear dynamic numerical simulations were conducted for a typical circular tunnel that considers the soil-structure interaction. Finally, using the tunnel inclination angle as the performance index, the probability density function of the structural response of the tunnel was solved using the PDEM to obtain the corresponding exceedance probabilities of the tunnel under various damage states. The results show that the PDEM-based framework can be applied to evaluate the seismic performance of circular tunnels and could serve as a reference on the seismic fragility of tunnels and underground structures.KEYWORDS: Tunnelprobability density evolution methodstochastic dynamic responseexceedance probability Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research was supported by National Key Research and Development Program of China (grant number 2022YFC3800905), National Natural Science Foundation of China (Grants No. 52108381, 52238010, 52090082), Innovation Program of Shanghai Municipal Education Commission (grant number 2019-01-07-00-07-456 E00051), Shanghai Science and Technology Committee Program (Grants No. 22dz1201202, 21dz1200601, 20dz1201404, 22XD1430200), and Natural Science Foundation of Chongqing, China (No. CSTB2023NSCQ-MSX0808).","PeriodicalId":48524,"journal":{"name":"Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards","volume":"124 1 1","pages":"0"},"PeriodicalIF":6.5000,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"PDEM-based seismic performance evaluation of circular tunnels under stochastic earthquake excitation\",\"authors\":\"Zhong-Kai Huang, Chao-Lie Ning, Dong-Mei Zhang, Hong-Wei Huang, Dong-Ming Zhang, Sotirios Argyroudis\",\"doi\":\"10.1080/17499518.2023.2257171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACTTunnels are a vital component of urban infrastructure that must be robust against seismic hazards. Given the randomness of earthquake occurrence, the seismic response of tunnel structures mut be studied by stochastic analysis methods. To this end, this study proposes a probability density evolution method (PDEM)-based framework to investigate the seismic performance of a circular tunnel under stochastic earthquake excitation. First, a suite of nonstationary earthquake motions compatible with the seismic design code was derived using a stochastic earthquake model. Then, a series of nonlinear dynamic numerical simulations were conducted for a typical circular tunnel that considers the soil-structure interaction. Finally, using the tunnel inclination angle as the performance index, the probability density function of the structural response of the tunnel was solved using the PDEM to obtain the corresponding exceedance probabilities of the tunnel under various damage states. The results show that the PDEM-based framework can be applied to evaluate the seismic performance of circular tunnels and could serve as a reference on the seismic fragility of tunnels and underground structures.KEYWORDS: Tunnelprobability density evolution methodstochastic dynamic responseexceedance probability Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research was supported by National Key Research and Development Program of China (grant number 2022YFC3800905), National Natural Science Foundation of China (Grants No. 52108381, 52238010, 52090082), Innovation Program of Shanghai Municipal Education Commission (grant number 2019-01-07-00-07-456 E00051), Shanghai Science and Technology Committee Program (Grants No. 22dz1201202, 21dz1200601, 20dz1201404, 22XD1430200), and Natural Science Foundation of Chongqing, China (No. CSTB2023NSCQ-MSX0808).\",\"PeriodicalId\":48524,\"journal\":{\"name\":\"Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards\",\"volume\":\"124 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2023-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17499518.2023.2257171\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, GEOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17499518.2023.2257171","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
PDEM-based seismic performance evaluation of circular tunnels under stochastic earthquake excitation
ABSTRACTTunnels are a vital component of urban infrastructure that must be robust against seismic hazards. Given the randomness of earthquake occurrence, the seismic response of tunnel structures mut be studied by stochastic analysis methods. To this end, this study proposes a probability density evolution method (PDEM)-based framework to investigate the seismic performance of a circular tunnel under stochastic earthquake excitation. First, a suite of nonstationary earthquake motions compatible with the seismic design code was derived using a stochastic earthquake model. Then, a series of nonlinear dynamic numerical simulations were conducted for a typical circular tunnel that considers the soil-structure interaction. Finally, using the tunnel inclination angle as the performance index, the probability density function of the structural response of the tunnel was solved using the PDEM to obtain the corresponding exceedance probabilities of the tunnel under various damage states. The results show that the PDEM-based framework can be applied to evaluate the seismic performance of circular tunnels and could serve as a reference on the seismic fragility of tunnels and underground structures.KEYWORDS: Tunnelprobability density evolution methodstochastic dynamic responseexceedance probability Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research was supported by National Key Research and Development Program of China (grant number 2022YFC3800905), National Natural Science Foundation of China (Grants No. 52108381, 52238010, 52090082), Innovation Program of Shanghai Municipal Education Commission (grant number 2019-01-07-00-07-456 E00051), Shanghai Science and Technology Committee Program (Grants No. 22dz1201202, 21dz1200601, 20dz1201404, 22XD1430200), and Natural Science Foundation of Chongqing, China (No. CSTB2023NSCQ-MSX0808).
期刊介绍:
Georisk covers many diversified but interlinked areas of active research and practice, such as geohazards (earthquakes, landslides, avalanches, rockfalls, tsunamis, etc.), safety of engineered systems (dams, buildings, offshore structures, lifelines, etc.), environmental risk, seismic risk, reliability-based design and code calibration, geostatistics, decision analyses, structural reliability, maintenance and life cycle performance, risk and vulnerability, hazard mapping, loss assessment (economic, social, environmental, etc.), GIS databases, remote sensing, and many other related disciplines. The underlying theme is that uncertainties associated with geomaterials (soils, rocks), geologic processes, and possible subsequent treatments, are usually large and complex and these uncertainties play an indispensable role in the risk assessment and management of engineered and natural systems. Significant theoretical and practical challenges remain on quantifying these uncertainties and developing defensible risk management methodologies that are acceptable to decision makers and stakeholders. Many opportunities to leverage on the rapid advancement in Bayesian analysis, machine learning, artificial intelligence, and other data-driven methods also exist, which can greatly enhance our decision-making abilities. The basic goal of this international peer-reviewed journal is to provide a multi-disciplinary scientific forum for cross fertilization of ideas between interested parties working on various aspects of georisk to advance the state-of-the-art and the state-of-the-practice.