Foundation Engineering In The Face Of Uncertainty
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Author | : Fred H. Kulhawy |
Publisher | : |
Total Pages | : 0 |
Release | : 2013 |
Genre | : Engineering geology |
ISBN | : 9780784412763 |
WIDTH: 405pt; BORDER-COLLAPSE: collapse border=0 cellSpacing=0 cellPadding=0 width=540> WIDTH: 405pt; mso-width-source: userset; mso-width-alt: 19748 width=540> HEIGHT: 31.5pt height=42> BORDER-BOTTOM: #f0f0f0; BORDER-LEFT: #f0f0f0; BACKGROUND-COLOR: transparent; WIDTH: 405pt; HEIGHT: 31.5pt; BORDER-TOP: #f0f0f0; BORDER-RIGHT: #f0f0f0 class=xl65 height=42 width=540>GSP 229 contains 54 papers on risk and uncertainty in foundation engineering presented in honor of Fred H. Kulhawy.
Author | : James Lawrence Withiam |
Publisher | : |
Total Pages | : 731 |
Release | : 2013 |
Genre | : Electronic book |
ISBN | : |
Sponsored by the Geo-Institute of ASCE. Foundation Engineering in the Face of Uncertainty, GSP 229, honors Fred H. Kulhawy, Ph.D., P.E., G.E., Dist.M.ASCE, for his many contributions advancing the science, art, teaching, and practice of geotechnical engineering. Dr. Kulhawy has influenced the civil engineering profession worldwide with his willingness to share his knowledge and expertise in many areas of geotechnical engineering including soil and rock mechanics, foundation engineering, and engineering geology. This collection contains 54 papers that explore uncertainty in foundation engineering, including characterization of soil parameters, spatial variability, uncertainty and risk analyses, reliability analysis, and reliability-based design. Seventeen papers are reprints of classic papers authored or co-authored by Dr. Kulhawy, and 37 invited technical papers are contributions by experts from around the world, which also include informative case histories. Foundation Engineering in the Face of Uncertainty contains practical and technical information on risk and reliability in foundation engineering that will be of interest to geotechnical engineers, foundation specialists, engineering geologists, and researchers.
Author | : Chong Tang |
Publisher | : CRC Press |
Total Pages | : 497 |
Release | : 2021-03-17 |
Genre | : Technology & Engineering |
ISBN | : 0429655959 |
Model Uncertainties in Foundation Design is unique in the compilation of the largest and the most diverse load test databases to date, covering many foundation types (shallow foundations, spudcans, driven piles, drilled shafts, rock sockets and helical piles) and a wide range of ground conditions (soil to soft rock). All databases with names prefixed by NUS are available upon request. This book presents a comprehensive evaluation of the model factor mean (bias) and coefficient of variation (COV) for ultimate and serviceability limit state based on these databases. These statistics can be used directly for AASHTO LRFD calibration. Besides load test databases, performance databases for other geo-structures and their model factor statistics are provided. Based on this extensive literature survey, a practical three-tier scheme for classifying the model uncertainty of geo-structures according to the model factor mean and COV is proposed. This empirically grounded scheme can underpin the calibration of resistance factors as a function of the degree of understanding – a concept already adopted in the Canadian Highway Bridge Design Code and being considered for the new draft for Eurocode 7 Part 1 (EN 1997-1:202x). The helical pile research in Chapter 7 was recognised by the 2020 ASCE Norman Medal.
Author | : Chong Tang |
Publisher | : CRC Press |
Total Pages | : 589 |
Release | : 2021-03-16 |
Genre | : Technology & Engineering |
ISBN | : 0429658397 |
Model Uncertainties in Foundation Design is unique in the compilation of the largest and the most diverse load test databases to date, covering many foundation types (shallow foundations, spudcans, driven piles, drilled shafts, rock sockets and helical piles) and a wide range of ground conditions (soil to soft rock). All databases with names prefixed by NUS are available upon request. This book presents a comprehensive evaluation of the model factor mean (bias) and coefficient of variation (COV) for ultimate and serviceability limit state based on these databases. These statistics can be used directly for AASHTO LRFD calibration. Besides load test databases, performance databases for other geo-structures and their model factor statistics are provided. Based on this extensive literature survey, a practical three-tier scheme for classifying the model uncertainty of geo-structures according to the model factor mean and COV is proposed. This empirically grounded scheme can underpin the calibration of resistance factors as a function of the degree of understanding – a concept already adopted in the Canadian Highway Bridge Design Code and being considered for the new draft for Eurocode 7 Part 1 (EN 1997-1:202x). The helical pile research in Chapter 7 was recognised by the 2020 ASCE Norman Medal.
Author | : T. Schweckendiek |
Publisher | : IOS Press |
Total Pages | : 1028 |
Release | : 2015-10-09 |
Genre | : Technology & Engineering |
ISBN | : 161499580X |
Geotechnical Risk and Safety V contains contributions presented at the 5th International Symposium on Geotechnical Safety and Risk (5th ISGSR, Rotterdam, 13-16 October 2015) which was organized under the auspices of the Geotechnical Safety Network (GEOSNet) and the following technical committees of the of the International Society of Soil Mechanics and Geotechnical Engineering (ISSGME): • TC304 Engineering Practice of Risk Assessment & Management • TC205 Safety and Serviceability in Geotechnical Design • TC212 Deep Foundations • TC302 Forensic Geotechnical Engineering Geotechnical Risk and Safety V covers seven themes: 1. Geotechnical Risk Management and Risk Communication 2. Variability in Ground Conditions and Site Investigation 3. Reliability and Risk Analysis of Geotechnical Structures 4. Limit-state design in Geotechnical Engineering 5. Assessment and Management of Natural Hazards 6. Contractual and Legal Issues of Foundation and (Under)Ground Works 7. Case Studies, Monitoring and Observational Method The 5th ISGSR is the continuation of a series of symposiums and workshops on geotechnical risk and reliability, starting with LSD2000 (Melbourne, Australia), IWS2002 (Tokyo and Kamakura, Japan), LSD2003 (Cambridge, USA), Georisk2004 (Bangalore, India), Taipei2006 (Taipei, Taiwan), the 1st ISGSR (Shanghai, China, 2007), the 2nd ISGSR (Gifu, Japan, 2009), the 3rd ISGSR (Munich, Germany, 2011) and the 4th ISGSR (Hong Kong, 2013).
Author | : Limin Zhang |
Publisher | : CRC Press |
Total Pages | : 598 |
Release | : 2013-11-15 |
Genre | : Technology & Engineering |
ISBN | : 1315797348 |
Geotechnical Safety and Risk IV contains the contributions presented at the 4th International Symposium on Geotechnical Safety and Risk (4th ISGSR, Hong Kong, 4-6 December 2013), which was organised under the auspices of the Geotechnical Safety Network (GEOSNet), TC304 on Engineering Practice of Risk Assessment and Management and TC205 on Safety an
Author | : Kok-Kwang Phoon |
Publisher | : CRC Press |
Total Pages | : 521 |
Release | : 2023-12-11 |
Genre | : Technology & Engineering |
ISBN | : 1003801250 |
Uncertainty, Modeling, and Decision Making in Geotechnics shows how uncertainty quantification and numerical modeling can complement each other to enhance decision-making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly. The book helps practitioners acquire a working knowledge of geotechnical risk and reliability methods and guides them to use these methods wisely in conjunction with data and numerical modeling. In particular, it provides guidance on the selection of realistic statistics and a cost-effective, accessible method to address different design objectives, and for different problem settings, and illustrates the value of this to decision-making using realistic examples. Bringing together statistical characterization, reliability analysis, reliability-based design, probabilistic inverse analysis, and physical insights drawn from case studies, this reference guide from an international team of experts offers an excellent resource for state-of-the-practice uncertainty-informed geotechnical design for specialist practitioners and the research community.
Author | : Sijing Wang |
Publisher | : Springer Nature |
Total Pages | : 562 |
Release | : |
Genre | : |
ISBN | : 9819992036 |
Author | : Chong Tang |
Publisher | : CRC Press |
Total Pages | : 568 |
Release | : 2021 |
Genre | : Technology & Engineering |
ISBN | : 9780429024993 |
Model Uncertainties in Foundation Design is unique in the compilation of the largest and the most diverse load test databases to date, covering many foundation types (shallow foundations, spudcans, driven piles, drilled shafts, rock sockets and helical piles) and a wide range of ground conditions (soil to soft rock). All databases with names prefixed by NUS are available upon request. This book presents a comprehensive evaluation of the model factor mean (bias) and coefficient of variation (COV) for ultimate and serviceability limit state based on these databases. These statistics can be used directly for AASHTO LRFD calibration. Besides load test databases, performance databases for other geo-structures and their model factor statistics are provided. Based on this extensive literature survey, a practical three-tier scheme for classifying the model uncertainty of geo-structures according to the model factor mean and COV is proposed. This empirically grounded scheme can underpin the calibration of resistance factors as a function of the degree of understanding - a concept already adopted in the Canadian Highway Bridge Design Code and being considered for the new draft for Eurocode 7 Part 1 (EN 1997-1:202x). The helical pile research in Chapter 7 was recognised by the 2020 ASCE Norman Medal.
Author | : Reginald E. Hammah |
Publisher | : Springer Nature |
Total Pages | : 879 |
Release | : 2023-12-08 |
Genre | : Technology & Engineering |
ISBN | : 9464632585 |
This is an open access book. Rocscience is delighted to announce the Rocscience International Conference 2023 (RIC2023), an in-person gathering to be held from April 24–26, 2023, in Toronto, Canada. RIC2023's primary objective is to bring geotechnical professionals together to meet and exchange ideas on important issues and developments in geotechnical engineering, particularly combinations of emerging and mature technologies. The geotechnical industry is rapidly evolving. Engineers are more connected through technology, technology is becoming more integrated than ever, and methods combining these technologies are becoming more prevalent. This movement towards combining technologies led us to the conference theme, “Synergy in Geotechnical Engineering – Success Beyond Individual Technologies.” We believe the time is right to highlight how far the industry has come with various technologies and continues to develop. The conference aims to create an environment that fosters new perspectives and helps attendees delve deeper into innovative approaches. During RIC2023, Rocscience will award the 2023 Lifetime Achievement Medal to Dr. Norbert Morgenstern, an internationally recognized authority in the engineering community. As both a practitioner and educator, Dr. Morgenstern’s contributions to the geotechnical community continue to benefit engineers worldwide, and he will give an address on his career. In addition to keynotes by Dr. Morgernstern and four other distinguished speakers, there will be several technical and networking sessions.