structures and stochastic methods structures and stochastic methods no 45 developments in geotechnical engineering

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Abstract Journal In Earthquake Engineering

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ISBN : UOM:39015028289208
Genre : Buildings
File Size : 89. 84 MB
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Directory Of Published Proceedings

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ISBN : UOM:39015015074464
Genre : Science
File Size : 68. 88 MB
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Stochastic Methods In Subsurface Contaminant Hydrology

Author : Rao S. Govindaraju
ISBN : 0784405328
Genre : Mathematics
File Size : 85. 54 MB
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Scientific And Technical Books And Serials In Print 1989

Author : Bowker Editorial Staff
ISBN : 0835225550
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File Size : 83. 80 MB
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Insights And Innovations In Structural Engineering Mechanics And Computation

Author : Alphose Zingoni
ISBN : 9781317280637
Genre : Technology & Engineering
File Size : 25. 17 MB
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Insights and Innovations in Structural Engineering, Mechanics and Computation comprises 360 papers that were presented at the Sixth International Conference on Structural Engineering, Mechanics and Computation (SEMC 2016, Cape Town, South Africa, 5-7 September 2016). The papers reflect the broad scope of the SEMC conferences, and cover a wide range of engineering structures (buildings, bridges, towers, roofs, foundations, offshore structures, tunnels, dams, vessels, vehicles and machinery) and engineering materials (steel, aluminium, concrete, masonry, timber, glass, polymers, composites, laminates, smart materials). Some contributions present the latest insights and new understanding on (i) the mechanics of structures and systems (dynamics, vibration, seismic response, instability, buckling, soil-structure interaction), and (ii) the mechanics of materials and fluids (elasticity, plasticity, fluid-structure interaction, flow through porous media, biomechanics, fracture, fatigue, bond, creep, shrinkage). Other contributions report on (iii) recent advances in computational modelling and testing (numerical simulations, finite-element modeling, experimental testing), and (iv) developments and innovations in structural engineering (planning, analysis, design, construction, assembly, maintenance, repair and retrofitting of structures). Insights and Innovations in Structural Engineering, Mechanics and Computation is particularly of interest to civil, structural, mechanical, marine and aerospace engineers. Researchers, developers, practitioners and academics in these disciplines will find the content useful. Short versions of the papers, intended to be concise but self-contained summaries of the full papers, are collected in the book, while the full versions of the papers are on the accompanying CD.

Earthquake Engineering

Author : Alberto Bernal
ISBN : 9054100605
Genre : Technology & Engineering
File Size : 20. 30 MB
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The official proceedings of the 10th world conference on earthquake engineering in Madrid. Coverage includes damage in recent earthquakes, seismic risk and hazard, site effects, structural analysis and design, seismic codes and standards, urban planning, and expert system application.

Bibliographic Guide To Conference Publications

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ISBN : UOM:39015055039005
Genre : Congresses and conventions
File Size : 24. 21 MB
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Vols. for 1987- list publications cataloged by the Research Libraries of the New York Public Library and the Library of Congress.

American Book Publishing Record

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ISBN : UOM:39015016313598
Genre : United States
File Size : 66. 26 MB
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Recent Advances In Optimal Structural Design

Author : Scott A. Burns
ISBN : 0784475245
Genre : Technology & Engineering
File Size : 63. 47 MB
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Sponsored by the Technical Committee on Structural Design of the Technical Administrative Committee on Analysis and Computation of the Technical Activities Division of the Structural Engineering Institute of ASCE. This report documents the dramatic new developments in the field of structural optimization over the last two decades. Changes in both computational techniques and applications can be seen by developments in computational methods and solution algorithms, the role of optimization during the various stages of structural design, and the stochastic nature of design in relation to structural optimization. Topics include: Ømethods for discrete variable structural optimization; Ødecomposition methods in structural optimization; Østate of the art on the use of genetic algorithms in design of steel structures; Øconceptual design optimization of engineering structures; Øtopology and geometry optimization of trusses and frames; Øevolutionary structural optimization; Ødesign and optimization of semi-rigid framed structures; Øoptimized performance-based design for buildings; Ømulti-objective optimum design of seismic-resistant structures; and Øreliability- and cost-oriented optimal bridge maintenance planning. The book concludes with an extensive bibliography of journal papers on structural optimization published between 1987 and 1999.

Stochastic Models Of Uncertainties In Computational Mechanics

Author : Christian Soize
ISBN : 9780784412237
Genre : Technology & Engineering
File Size : 88. 23 MB
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Sponsored by the Engineering Mechanics Institute of ASCE. Stochastic Models of Uncertainties in Computational Mechanics presents the main concepts, formulations, and recent advances in the use of a mathematical-mechanical modeling process to predict the responses of a real structural system in its environment. Computational models are subject to two types of uncertainties?variabilities in the real system and uncertainties in the model itself?so, to be effective, these models must support robust optimization, design, and updating. A probabilistic approach to uncertainties is the most powerful, efficient, and effective tool for computational modeling. Chapters describe the methodology, construction, and estimation for using parametric, nonparametric, and generalized probabilistic approaches to the uncertainties in computational structural dynamics. Other chapters demonstrate the nonparametric probabilistic approach in the context of linear and nonlinear structural dynamics and in structural acoustics and vibration. A new methodology adapted to partial and limited experimental data is presented to identify random coefficients in high-dimension polynomial chaos expansions. This compact guide to probabilistic approaches in computational modeling will be of interest to those working in computational sciences, especially structural engineers, who are developing and applying stochastic models of uncertainties to predict real-world structural systems.

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