{"title":"Impact of Randomized Soil Properties and Rock Motion Intensities on Ground Motion","authors":"Ayele Chala, Richard Ray","doi":"10.1155/2024/9578058","DOIUrl":null,"url":null,"abstract":"Seismic site response is inevitably influenced by natural variability of soil properties and anticipated earthquake intensity. This study presents the influence of variability in shear wave velocity (<i>V</i><sub><i>s</i></sub>) and amplitude of input rock motion on seismic site response analysis. Monte Carlo simulations were employed to randomize the <i>V</i><sub><i>s</i></sub> profile for different scenarios. A series of 1-D equivalent linear (EQL) seismic site response analyses were conducted by combining the randomized <i>V</i><sub><i>s</i></sub> profile with different levels of rock motion intensities. The results of the analyses are presented in terms of surface spectral acceleration, amplification factors (AFs), and peak ground acceleration (PGA). The mean and standard deviation of these parameters are thoroughly discussed for a wide range of randomized <i>V</i><sub><i>s</i></sub> profile, number of <i>V</i><sub><i>s</i></sub> randomizations, and intensities of input rock motions. The results demonstrate that both the median PGA and its standard deviations across different number of <i>V</i><sub><i>s</i></sub> profile realization exhibit a slight variation. As few as twenty <i>V</i><sub><i>s</i></sub> profile realizations are sufficient to compute reliable response parameters. Both rock motion intensity and standard deviation of <i>V</i><sub><i>s</i></sub> variability cause significant variation in computed surface parameters. However, the variability in the number of records used to conduct site response has no significant impact on ground response if the records closely match the target spectrum. Incorporating the multiple sources of variabilities can reduce uncertainty when conducting ground response simulations.","PeriodicalId":7242,"journal":{"name":"Advances in Civil Engineering","volume":"21 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Civil Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1155/2024/9578058","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Seismic site response is inevitably influenced by natural variability of soil properties and anticipated earthquake intensity. This study presents the influence of variability in shear wave velocity (Vs) and amplitude of input rock motion on seismic site response analysis. Monte Carlo simulations were employed to randomize the Vs profile for different scenarios. A series of 1-D equivalent linear (EQL) seismic site response analyses were conducted by combining the randomized Vs profile with different levels of rock motion intensities. The results of the analyses are presented in terms of surface spectral acceleration, amplification factors (AFs), and peak ground acceleration (PGA). The mean and standard deviation of these parameters are thoroughly discussed for a wide range of randomized Vs profile, number of Vs randomizations, and intensities of input rock motions. The results demonstrate that both the median PGA and its standard deviations across different number of Vs profile realization exhibit a slight variation. As few as twenty Vs profile realizations are sufficient to compute reliable response parameters. Both rock motion intensity and standard deviation of Vs variability cause significant variation in computed surface parameters. However, the variability in the number of records used to conduct site response has no significant impact on ground response if the records closely match the target spectrum. Incorporating the multiple sources of variabilities can reduce uncertainty when conducting ground response simulations.
地震场地响应不可避免地受到土壤性质的自然变化和预期地震烈度的影响。本研究介绍了剪切波速度(Vs)和输入岩石运动振幅的变化对地震场地响应分析的影响。采用蒙特卡罗模拟来随机化不同情况下的 Vs 剖面。通过将随机化的 Vs 剖面与不同程度的岩石运动强度相结合,进行了一系列一维等效线性(EQL)地震场地响应分析。分析结果以地表频谱加速度、放大系数(AF)和峰值地面加速度(PGA)的形式呈现。针对各种随机 Vs 剖面、Vs 随机化次数和输入岩动强度,对这些参数的平均值和标准偏差进行了深入讨论。结果表明,在不同数量的 Vs 剖面实现中,PGA 中值及其标准偏差都有轻微变化。少至 20 个 Vs 剖面实现就足以计算出可靠的响应参数。岩石运动强度和 Vs 变化的标准偏差都会导致计算出的地表参数发生显著变化。不过,如果记录与目标频谱密切吻合,用于进行场地响应的记录数量的变化对地面响应没有重大影响。在进行地面响应模拟时,将多种变异源纳入其中可减少不确定性。
期刊介绍:
Advances in Civil Engineering publishes papers in all areas of civil engineering. The journal welcomes submissions across a range of disciplines, and publishes both theoretical and practical studies. Contributions from academia and from industry are equally encouraged.
Subject areas include (but are by no means limited to):
-Structural mechanics and engineering-
Structural design and construction management-
Structural analysis and computational mechanics-
Construction technology and implementation-
Construction materials design and engineering-
Highway and transport engineering-
Bridge and tunnel engineering-
Municipal and urban engineering-
Coastal, harbour and offshore engineering--
Geotechnical and earthquake engineering
Engineering for water, waste, energy, and environmental applications-
Hydraulic engineering and fluid mechanics-
Surveying, monitoring, and control systems in construction-
Health and safety in a civil engineering setting.
Advances in Civil Engineering also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.