Large-Scale Construction Equipment Joint Simulation Based on Multi-Body Dynamics Theory

2011 ◽  
Vol 268-270 ◽  
pp. 101-105 ◽  
Author(s):  
Yu Hong Li ◽  
Ling Xiao Nie ◽  
Shan Ding

In order to ensure the efficiency and safety of construction process control and failure analysis for the large-scale construction equipment in water conservancy engineering, which is based on specified equipment for some real engineering practices, namely TC2400-tower belt crane, a multi-body joint simulation dynamical model is given in this paper. Then, the data flow and operational process of the model are analyzed. Finally, a case study based on ADAMS and SOLIDWORKS platforms is performed to verify the validity and rationality of the given model.

Author(s):  
Gabriel Nützi ◽  
Adrian Schweizer ◽  
Michael Möller ◽  
Christoph Glocker

Large-scale contact problems with impacts and Coulomb friction arise in the simulation of rigid body dynamics treated within the non-smooth contact dynamics approach using set-valued force and impact laws. In this paper the parallelization of two popular numerical methods for solving such contact problems on the GPU, being the projected over-relaxed Jacobi (JOR Prox) and projected Gauss-Seidel iteration (SOR Prox), is studied in detail. Performance tests for the parallel JOR and SOR Prox iterations are conducted and a speedup factor of up to 16, depending on the problem size, can be achieved compared to a sequential implementation. This work forms the stepping stone to the simulation of granular media on a computer cluster.


Author(s):  
Michael J. Del Signore ◽  
Rajankumar M. Bhatt ◽  
Venkat Krovi

In this paper, we examine the development of a framework for musculoskeletal system analysis, leveraging screw-theoretic techniques traditionally employed for the analysis of articulated multi-body systems (MBS). The case study of analysis of bite-and muscle-forces in the jaws of members of the felid (cat) family is intended to highlight the critical aspects. The underlying articulated structure and superimposed musculature of the felid jaws permit modeling as a parallel articulated MBS. Specifically, such systems share many common features with the subclass of cable actuated parallel MBS, including redundancy in actuation and unidirectional nature of actuation forces. The screw-theoretic model formulation is intended to enable development of a computationally efficient scheme for resolving such redundancy while retaining explicit geometric meaning in terms of lines of action, motions, and forces. The resulting low-order computational model is well suited for iterative “what-if” force optimization and muscle location studies. A MATLAB based GUI was developed and validated to help the user implement such iterative simulation-based muscle location studies in simulation or on a Hardware-in-the-Loop test-bed.


2013 ◽  
Vol 457-458 ◽  
pp. 428-432
Author(s):  
Ke Zhan ◽  
Xiao Ling Yu ◽  
Bin Yan Yu ◽  
Jia Xie

This paper presents a new method which combined multi-body dynamics theory and finite element technology to calculate transient stress of the crankshaft of the large-scale reciprocating compressor. On the basis of multi-body dynamics theory, the kinematical simulation of the crankshaft, the connecting rod, the piston and other components were performed, and thus to get the vibration modal of the crankshaft. So we can judge whether the crankshafts torsional resonance will happen, as well as get the real loads on the crankshaft when it worked. Then the transient stress of the crankshaft can be calculated using finite element technology. Comparing to traditional stress calculating methods, this new method not only considers the variable inertia which caused by reciprocating masss movement, but also can calculate the integrated vibration stress of crankshaft in three directions, including torsion, lateral and axial. Therefore, this method can describe dynamic characteristics of the crankshaft more accurately and more entirely.


Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vahid Mohagheghi ◽  
Seyed Meysam Mousavi ◽  
Mohammad Mojtahedi ◽  
Sidney Newton

Purpose Project selection is a critical decision for any organization seeking to commission a large-scale construction project. Project selection is a complex multi-criteria decision-making problem with significant uncertainty and high risks. Fuzzy set theory has been used to address various aspects of project uncertainty, but with key practical limitations. This study aims to develop and apply a novel Pythagorean fuzzy sets (PFSs) approach that overcomes these key limitations. Design/methodology/approach The study is particular to complex project selection in the context of increasing interest in resilience as a key project selection criterion. Project resilience is proposed and considered in the specific situation of a large-scale construction project selection case study. The case study develops and applies a PFS approach to manage project uncertainty. The case study is presented to demonstrate how PFS is applied to a practical problem of realistic complexity. Working through the case study highlights some of the key benefits of the PFS approach for practicing project managers and decision-makers in general. Findings The PFSs approach proposed in this study is shown to be scalable, efficient, generalizable and practical. The results confirm that the inclusion of last aggregation and last defuzzification avoids the potentially critical information loss and relative lack of transparency. Most especially, the developed PFS is able to accommodate and manage domain expert expressions of uncertainty that are realistic and practical. Originality/value The main novelty of this study is to address project resilience in the form of multi-criteria evaluation and decision-making under PFS uncertainty. The approach is defined mathematically and presented as a six-step approach to decision-making. The PFS approach is given to allow multiple domain experts to focus more clearly on accurate expressions of their agreement and disagreement. PFS is shown to be an important new direction in practical multi-criteria decision-making methods for the project management practitioner.


2010 ◽  
Vol 7 (2) ◽  
pp. 209-209
Author(s):  
Andreas T. Pfeiffer ◽  
Jun-Seong Lee ◽  
Jae-Hung Han ◽  
Horst Baier

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