Advanced Analysis of Steel Frames Using Parallel Processing and Vectorization

Foley, Christopher

doi:10.1111/0885-9507.00235

Cited by 12 publications

(4 citation statements)

References 40 publications

(59 reference statements)

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“…Parallel and vector processing has been utilized to trace the complete load-deformation response of steel frames using the distributed plasticity methodology for large-scale fully and partially restrained frames (Foley, 1996(Foley, , 2001Sotelino, 2003). Parallel and vector processing has been utilized to trace the complete load-deformation response of steel frames using the distributed plasticity methodology for large-scale fully and partially restrained frames (Foley, 1996(Foley, , 2001Sotelino, 2003).…”

Section: Plastic Hinge Methodsmentioning

confidence: 99%

Frame Stability

Ya-rong

2010

Guide to Stability Design Criteria for Metal Structures

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Section: Plastic Hinge Methodsmentioning

confidence: 99%

Frame Stability

Ya-rong

2010

Guide to Stability Design Criteria for Metal Structures

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“…It can be seen that this fiber plastic hinge method can capture the nonlinear behavior and ultimate strength of 2D steel frames as the sophisticated plastic zone method but more effective in computational effort. Figures 12,13,14,15,16,17,18,19,20,21, and 22 show load-deflection relationships at node A and B for four different cases: Case 1 considers both shear deformation and residual stress; Case 2 considers only shear deformation; Case 3 considers only residual stress; Case 4 does not consider both shear deformation and residual stress. Tables 2…”

Section: Six-story Framementioning

confidence: 99%

“…They used plastic hinge methods or distributed plasticity methods for predicting material inelasticity. For geometry nonlinearity, they employed Hermite interpolation functions [1,[14][15][16][17], high-order interpolation functions [18], stability functions [2,9,12,13,19,20], or corotational approach [21][22][23][24], in which stability functions is more efficient than other approaches since they use only one-element modeling for capturing second-order effects precisely. So this study will employ stability functions for developing a new method for analyzing the nonlinear inelastic behavior of steel frames.…”

Section: Introductionmentioning

confidence: 99%

Impacts of residual stress and shear deformation on 2D steel frames using fiber plastic hinge element: nonlinear behavior and strength

Nguyen

Tran

2021

SN Appl. Sci.

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In this study, impacts of residual stress and shear deformation are investigated on 2D steel frames using a new fiber plastic hinge method. Geometry and material nonlinearities, residual stress, shear deformation, imperfections are considered simultaneously in the nonlinear analysis. The proposed method is efficient in computational efforts since the one-element modeling is used for the nonlinear analysis by employing stability functions for capturing the P-small delta phenomenon. The P-large delta phenomenon is considered using the geometric stiffness matrix. Plastic hinges are assumed to be formed at two ends of members. Cross-sections at two ends of members are divided into many fibers. The ECCS residual stress pattern is assigned directly through fibers as initial stress conditions. A finite element program is coded using the Fortran programming language for predicting the nonlinear behavior and ultimate strength of planar steel frames. The behavior and load-carrying capacity of steel frames are predicted precisely and efficiently using the nonlinear inelastic analysis. A case study of a large-scale planar steel frame is investigated for the frame's behavior and strength under the effects of residual stresses and shear deformation. Through numerical examples, we recommend that both residual stress and shear deformation should be considered in the advanced direct analysis and design procedures for steel-framed structures. Article highlights• A nonlinear 2D beam column element is developed successfully using onlyone element per member for modeling. • Geometric nonlinearities, material plasticity, residual stress, and sheardeformation are investigated simultaneously.• Both residual stress and shear deformation should be considered in the engineering design of steel frames.

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“…Successful applications of parallel processing and supercomputing in civil engineering started in areas of structural engineering in the early 1990s such as finite‐element analysis (Hsu and Adeli, 1991; Adeli and Kamal, 1992a, b; Soegiarso and Adeli, 1995; Adeli and Kumar, 1995a; Adeli, 2000), large‐scale design optimization (Adeli and Hsu, 1994; Soegiarso and Adeli, 1994; Saleh and Adeli, 1994a; Adeli and Cheng, 1994; Adeli and Park, 1996; Park and Adeli, 1997; Sarma and Adeli, 2001), and vibration control (Saleh and Adeli, 1994b, 1996, 1997). Recently, parallel computing techniques are introduced for optimum structural design to speed up the message passing parallel systems (Foley, 2001; Umesha et al, 2007; Yin et al, 2010). Several constitutive models have also been implemented into parallel finite‐element code to perform structure analysis (Danielson et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

A Generalized Framework for Parallelizing Traffic Sign Inventory of Video Log Images Using Multicore Processors

Tsai

Huang

2012

Computer aided Civil Eng

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Video log images could potentially be used for state transportation agencies to automatically inventory traffic sign assets. However, processing millions of video log images is prohibitively time‐consuming. Taking advantage of the emerging chip multicore processor (CMP) technology, this article proposes a generalized framework for parallelizing traffic sign detection in a large number of high‐resolution video log images. Based on an improved contour finding and workload identification strategy, task and data parallelism in traffic sign detection are fully developed at multiple levels. A generalized parallelization framework for dynamic workload scheduling using adaptive work‐stealing of thread pool and dynamic circular lock‐free double‐ended queue is then proposed. Experimental results on 14,514 images provided by the Louisiana Department of Transportation show that the parallelized traffic sign detection algorithm has great potential to improve computation time with a parallel speedup of up to 18 times on multilevel parallel configurations and different CMP platforms while keeping the same accuracy as the serial version.

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Advanced Analysis of Steel Frames Using Parallel Processing and Vectorization

Cited by 12 publications

References 40 publications

Frame Stability

Frame Stability

Impacts of residual stress and shear deformation on 2D steel frames using fiber plastic hinge element: nonlinear behavior and strength

A Generalized Framework for Parallelizing Traffic Sign Inventory of Video Log Images Using Multicore Processors

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