Journal ArticleDOI
Charts for probabilistic design of strip footings in cohesionless soils
Imad A. Basheer,Yacoub M. Najjar +1 more
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In this article, the authors developed a design chart that enables quick determination of the probability distribution parameters related to the ultimate bearing capacity of shallow foundations resting on (c = 0) soils.Abstract:
Design charts that enable quick determination of the probability distribution parameters related to the ultimate bearing capacity of shallow foundations resting on (c = 0) soils are developed. These charts are intended to assist foundation designers and analysts in studying the reliability of structures as related to the capacity of the foundation system. The approach presented herein provides a more reliable alternative to foundation design and analysis than the current conventional design procedure which employs the assumption of an appropriate factor-of-safety. © Rapid Science Ltd. 1998read more
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Probability and statistics in Civil Engineering: by G.N. Smith, Nichols Publishing Company, New York, NY, 1986, 244 pp.
Journal ArticleDOI
Engineering geological assessment using geochemical, mineralogical, and petrographic analysis along the Riyadh Metro Line 3 (Saudi Arabia)
TL;DR: In this paper, the use of geological identification tests to detect and assess hazards along the Line 3 of the Riyadh Metro Project, which is the largest metro project ever built from scratch, is presented.
Journal ArticleDOI
Stochastic design charts for bearing capacity of strip footings
Mohamed A. Shahin,Eric M. Cheung +1 more
TL;DR: In this article, a stochastic approach based on Monte Carlo simulation is proposed to estimate the bearing capacity of strip footings subjected to vertical loads, and a set of design charts that assure target reliability levels of 90% and 95% are developed for routine use by practitioners.
Journal ArticleDOI
Reliability Based Assessment of Shallow Foundations Using Mathcad
TL;DR: In this paper, a reliability-based method was used to design and analyse shallow foundations using first-order Taylor series approximation, which is an effective tool to assist the foundation designers and analyists to investigate how reliable their designs or analyses are in relation to the ultimate bearing capacity of the foundations.
Journal ArticleDOI
A probabilistic study on the geometrical design of gravity retaining walls
TL;DR: In this paper, a simple method of probabilistic analysis on the dimensions of gravity retaining walls is introduced to lead to a more accurate understanding of failure, which can be used to provide more information and confidence about the design of retaining structures.
References
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A mathematical theory of communication
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
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Probability Concepts in Engineering Planning and Design
TL;DR: This research attacked the mode confusion problem by developing a modeling framework called “model schizophrenia” to estimate the posterior probability of various modeled errors.
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Foundation analysis and design
TL;DR: In this paper, Fondation de soutenagement et al. presented a reference record for Dimensionnement Reference Record created on 2004-09-07, modified on 2016-08-08.
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Principles of Foundation Engineering
TL;DR: The 7th edition of the "PrincipLES of FOUNDATION ENGINEERING" as discussed by the authors was published in the fall of 1983 and has been widely used in foundation engineering courses.