Book•
Foundation analysis and design
01 Jan 1968-
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.
Abstract: Keywords: Fondation ; Mur de soutenement ; Pieux ; Capacite portante ; Ancrage ; Dimensionnement Reference Record created on 2004-09-07, modified on 2016-08-08
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TL;DR: In this article, a total of 1089 published blast data of various researchers in different rock sites have been collected and used to propose generalized empirical model for peak particle velocity (PPV) by considering the effects of rock parameters like unit weight, rock quality designation (RQD), geological strength index (GSI), and uniaxial compressive strength (UCS).
Abstract: In the recent decades, effects of blast loads on natural and man-made structures have gained considerable attention due to increase in threat from various man-made activities. Site-specific empirical relationships for calculation of blast-induced vibration parameters like peak particle velocity (PPV) and peak particle displacement (PPD) are commonly used for estimation of blast loads in design. However, these relationships are not able to consider the variation in rock parameters and uncertainty of in situ conditions. In this paper, a total of 1089 published blast data of various researchers in different rock sites have been collected and used to propose generalized empirical model for PPV by considering the effects of rock parameters like unit weight, rock quality designation (RQD), geological strength index (GSI), and uniaxial compressive strength (UCS). The proposed PPV model has a good correlation coefficient and hence it can be directly used in prediction of blast-induced vibrations in rocks. Standard errors and coefficient of correlations of the predicted blast-induced vibration parameters are obtained with respect to the observed field data. The proposed empirical model for PPV has also been compared with the empirical models available for blast vibrations predictions given by other researchers and found to be in good agreement with specific cases.
142Â citations
Cites background from "Foundation analysis and design"
...In the literature, the maximum value of fc for rocks has been found to be 415MPa (Bowles,1997)....
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...The rock properties from various sources, e.g. Bowles (1997), Hoek et al. (1998), have been collected and presented in Table 2....
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Journal Article•
TL;DR: In this paper, Michalowski et al. compared the results of independent numerical analyses by the discussers and the authors and used the ideas presented in the original paper as the basis for a discussion of the analytical framework by Hanna and Meyerhoff.
Abstract: The discussion of the paper which originally appeared in this journal (V 121, N 5, May 1995), begins with admiration by the discussers for the authors' efforts to analyze the bearing capacity of layered soils and recognition for the significant contribution that paper made. This discussion has a twofold purpose: 1. to compare the results of independent numerical analyses by the discussers and the authors and 2. to use the ideas presented in the original paper as the basis for a discussion of the analytical framework by Hanna and Meyerhoff. Following the discussion, a closure is present by the authors, Radoslaw L. Michalowski and Lei Shi.
141Â citations
TL;DR: A review of some selected AI techniques and their applications in pile foundations, and salient features associated with the modeling development of these AI techniques are presented in this article. And the strength and limitations of the selected AI approaches compared to other available modeling approaches are discussed.
Abstract: Geotechnical engineering deals with materials (e.g. soil and rock) that, by their very nature, exhibit varied and uncertain behavior due to the imprecise physical processes associated with the formation of these materials. Modeling the behavior of such materials in geotechnical engineering applications is complex and sometimes beyond the ability of most traditional forms of physically-based engineering methods. Artificial intelligence (AI) is becoming more popular and particularly amenable to modeling the complex behavior of most geotechnical engineering applications because it has demonstrated superior predictive ability compared to traditional methods. This paper provides state-of-the-art review of some selected AI techniques and their applications in pile foundations, and presents the salient features associated with the modeling development of these AI techniques. The paper also discusses the strength and limitations of the selected AI techniques compared to other available modeling approaches.
138Â citations
TL;DR: In this paper, a neural network model was used to predict the residual friction angle based on clay fraction and Atterberg's limits, and a prediction model equation was established with the weights of the neural network as the model parameters.
136Â citations
TL;DR: In this paper, the authors present a critical review of such models and discuss the necessity to develop a multiphase, multicomponent comprehensive model integrating gas generation, leachate movement, and refuse settlement.
Abstract: Landfills remain an attractive disposal route for municipal solid waste because in most cases it is more economical than other alternatives such as incineration and composting. The post-closure development of landfilled areas becomes essential as urban growth reaches landfill boundaries. However, physicochemical and biological processes inevitably hinder the beneficial use of such lands because of gas and leachate generation coupled with significant settlement. The rate and magnitude of landfill deformations are often nonuniform resulting in differential settlements that can have devastating effects on the integrity of any structure erected on the landfill. Differential settlements also eventually result in problems such as surface ponding, development of cracks, and failure of the cover system, including tearing of geomembrane, as well as damage of gas collection and drainage pipes. The ability to predict settlement becomes a key issue in the design and construction of landfills. Numerous models have been developed to simulate the movement of solid waste. This article presents a critical review of such models, describes the applicability and usage of these models, and discusses the necessity to develop a multiphase, multicomponent comprehensive model integrating gas generation, leachate movement, and refuse settlement.
134Â citations