Adaptive algorithm for estimating excavation-Induced displacements using field performance data
作者机构：Transportation EngineerTexas Department of TransportationUSA College of Civil and Transportation EngineeringHohai UniversityNanjingJiangsu ProvinceChina
出 版 物：《Underground Space》 (地下空间（英文）)
年 卷 期：2020年第5卷第2期
页 面：115-124页
核心收录：
学科分类：08[工学] 081304[工学-建筑技术科学] 0813[工学-建筑学]
主 题：Excavation Displacement prediction Bayesian updating Model bias
摘 要：Empirical models provide a practical way to estimate the displacements induced by ***,there are uncertainties associated with the predictions of empirical models owing to:(a)the imperfect knowledge of the model and(b)the uncertainties of the input *** uncertainties of these models can be characterized by a bias factor which is defined as the ratio of the actual displacement to the predicted *** bias factors associated with the C&O method and the KJHH model are evaluated using the Bayesian method and a database of 71 excavations in *** improve the predictions of the maximum displacement,an adaptive algorithm is proposed using field performance *** performance of the proposed algorithm is demonstrated by an example in which excavation-induced displacements are generated by finite element method in normally consolidated *** example shows that the developed algorithm can significantly improve the predictions by incorporating the field performance data.
维普期刊数据库