ASCE GSP 285-2017 GEOTECHNICAL RISK ASSESSMENT AND MANAGEMENT.pdf
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1、GEOTECHNICAL SPECIAL PUBLICATION NO. 285 GEO-RISK 2017 GEOTECHNICAL RISK ASSESSMENT AND MANAGEMENT SELECTED PAPERS FROM SESSIONS OF GEO-RISK 2017 June 47, 2017 Denver, Colorado SPONSORED BY Geo-Institute of the American Society of Civil Engineers EDITED BY Jinsong Huang, Ph.D. Gordon A. Fenton, Ph.D
2、., P.Eng. Limin Zhang, Ph.D. D. V. Griffiths, Ph.D., P.E., D.GE Published by the American Society of Civil Engineers Published by American Society of Civil Engineers 1801 Alexander Bell Drive Reston, Virginia, 20191-4382 www.asce.org/publications | ascelibrary.org Any statements expressed in these m
3、aterials are those of the individual authors and do not necessarily represent the views of ASCE, which takes no responsibility for any statement made herein. No reference made in this publication to any specific method, product, process, or service constitutes or implies an endorsement, recommendati
4、on, or warranty thereof by ASCE. The materials are for general information only and do not represent a standard of ASCE, nor are they intended as a reference in purchase specifications, contracts, regulations, statutes, or any other legal document. ASCE makes no representation or warranty of any kin
5、d, whether express or implied, concerning the accuracy, completeness, suitability, or utility of any information, apparatus, product, or process discussed in this publication, and assumes no liability therefor. The information contained in these materials should not be used without first securing co
6、mpetent advice with respect to its suitability for any general or specific application. Anyone utilizing such information assumes all liability arising from such use, including but not limited to infringement of any patent or patents. ASCE and American Society of Civil EngineersRegistered in U.S. Pa
7、tent and Trademark Office. Photocopies and permissions. Permission to photocopy or reproduce material from ASCE publications can be requested by sending an e-mail to permissionsasce.org or by locating a title in ASCEs Civil Engineering Database (http:/cedb.asce.org) or ASCE Library (http:/ascelibrar
8、y.org) and using the “Permissions” link. Errata: Errata, if any, can be found at https:/doi.org/10.1061/9780784480724 Copyright 2017 by the American Society of Civil Engineers. All Rights Reserved. ISBN 978-0-7844-8072-4 (PDF) Manufactured in the United States of America. Preface Interest and use of
9、 probabilistic methods and risk assessment tools in geotechnical engineering has grown rapidly in recent years. The natural variability of soil and rock properties, combined with a frequent lack of high quality site data, makes a probabilistic approach to geotechnical design a logical and scientific
10、 way of managing both technical and economic risk. The burgeoning field of geotechnical risk assessment is evidenced by numerous publications, textbooks, dedicated journals and sessions at general geotechnical conferences. Risk assessments are increasingly becoming a requirement in many large engine
11、ering construction projects. Probabilistic methods are also recognized in design codes as a way of delivering reasonable load and resistance factors (LRFD) to target allowable risk levels in geotechnical design. This Geotechnical Special Publication (GSP), coming out of the Geo-Risk 2017 specialty c
12、onference held in Denver, Colorado from June 4-7, 2017, presents contributions in sessions: 1) Advances in the Applications of Theory and Practice of Statistics and Probability in Geoengineering, 2) Bayesian Updating for Geotechnical Applications, 3) Risk Assessment of Tunneling, 4) Risk Assessment
13、and Management of Dams, and 5) Seismic Risk Assessment. These contributions to Geotechnical risk assessment and management are very timely, and will provide a valuable and lasting reference for practitioners and academics alike. The editors would like to thank all of the members of ASCE Geo Institut
14、es Technical Committee on Risk Assessment and Management and the Engineering Practice of Risk Assessment and Management Committee (TC304) of the International Society of Soil Mechanics and Geotechnical Engineering (ISSMGE) for their ongoing support. All the papers in this GSP went through a rigorous
15、 review process. The contributions of the reviewers are much appreciated. The Editors Jinsong Huang, Ph.D., M.ASCE, University of Newcastle, NSW, Australia Gordon A. Fenton, Ph.D., P.Eng., FEIC, FCAE, M.ASCE, Dalhousie University, Halifax, Canada Limin Zhang, Ph.D., F.ASCE, Hong Kong University of S
16、cience and Technology, PR China D.V. Griffiths, Ph.D., P.E., D.GE, F.ASCE, Colorado School of Mines, Golden, CO, USA Geo-Risk 2017 GSP 285 iii ASCE Acknowledgments The following individuals deserve special acknowledgment and recognition for their efforts in making this conference a success Conferenc
17、e Chair: D.V. Griffiths, Colorado School of Mines, Golden, Colorado, USA Conference Co-Chair: Gordon A. Fenton, Dalhousie University, Halifax, Canada Technical Program Chair: Jinsong Huang, University of Newcastle, NSW, Australia Short-Courses: Limin Zhang, Hong Kong University of Science and Techno
18、logy Student Program co-Chairs: Zhe Luo, University of Akron; Jack Montgomery, Auburn University Sponsorships and Exhibits Chair: Armin Stuedlein, Oregon State University The Editors greatly appreciate the work of Ms. Helen Cook, Ms. Leanne Shroeder, Ms. Brandi Steeves, and Mr. Drew Caracciolo of th
19、e ASCE Geo-Institute for their administration of many important conference organizational issues, including management of the on-line paper submissions, the conference web site and sponsorship. Geo-Risk 2017 GSP 285 iv ASCEContents Advances in the Applications of Theory and Practice of Statistics an
20、d Probability in Geoengineering Bayesian Probabilistic Asset Management Protocol for Infrastructure Systems: Example Application to a Flood Protection System 1 Anand V. Govindasamy, W. Allen Marr, Rickey P. Brouillette, and John T. Christian Characterizing Unknown Trend Using Sparse Bayesian Learnin
21、g . 22 Jianye Ching and Kok-Kwang Phoon Efficient Estimation of Spatial Varied Soil Properties Based on Field Pore Water Pressure Responses in a Slope . 32 H. Q. Yang and L. L. Zhang How Subjective Are Geotechnical Reliability Estimates? 42 Iason Papaioannou and Daniel Straub Integrating Multi-Sourc
22、e Information from Site Investigation for Probabilistic Characterization of Undrained Shear Strength 52 Meng-Yao Shen, Zi-Jun Cao, Dian-Qing Li, and Yu Wang Obtaining 2-D High-Resolution Cone Tip Resistance Fields 62 Dong Zheng, Jinsong Huang, and Dianqing Li Probabilistic Calibration of a Modified
23、Van der Poel Model Representing the Viscoelastic Behavior of Sandstone . 69 Yichuan Zhu, Lu Cong, Xinli Hu, and Zenon Medina-Cetina Probabilistic Characterization of Site-Specific Correlation between Geotechnical Parameters Using Limited Site Observation Data . 81 Adeyemi Emman Aladejare, Oluwatosin
24、 Victor Akeju, and Yu Wang Reliability Analysis of Geosynthetic Reinforced Soil Walls . 91 Lei Wang, Michael Powers, and Wenping Gong Reliability-Based Framework for Designing Test Programs for Piles 101 Shadi Najjar, George Saad, and Youmna Abdallah Geo-Risk 2017 GSP 285 v ASCERisk Assessment for L
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