Validating Complex Construction Simulation Models Using 3D Visualization

2003 ◽  
Vol 43 (4) ◽  
pp. 455-467 ◽  
Author(s):  
Vineet R. Kamat ◽  
Julio C. Martinez
Author(s):  
Marta K. Isaeva

The paper dedicates in commemoration of K.A. Bagrinovsky, known scientist, doctor of economic sciences, professor. His thesis was theoretic problems of mathematical modeling and operation of economy. His works in the operations research, the methods making decision, the simulation were received in scientific world. The analysis and the modeling of the mechanisms for scientific and technological development for the production systems of different level in economic hierarchic both centrally controlled economy and making mechanism were conduced by Bagrinovsky in CEMI RAS. The paper presents the investigations (2001–2015) of the analysis and the simulation of the different mechanisms of the innovational activity. It also discusses the methods of the development the complex of the simulation models. In a sense simulation modeling is the science and the art as the selection of the salient parameters for the construction model, intake simplification, the computer experiment and the making decision based on scarcity of accuracy models rest on the heuristic power of men: the practical trial, the intelligence and the intuition. K.A. Bagrinovsky introduced the considerable endowment in the development of this direction for economic and mathematical investigation.The principal object was to show that the relationship between the innovational policy and the technological structure, scientific research sector and the introducing of the progressive production and the organizational structure is obtainable by the models. The character of these relationships may be to use in control of the parameters for the modernization economic. The construction simulation models and the experimental computation analysis were presented the investigations the different mechanisms of the innovational development ant the variants of the estimation have been accomplished on the modeling level by the computer experiment.


2020 ◽  
Vol 143 ◽  
pp. 01046
Author(s):  
Jing Liu ◽  
Fei Meng ◽  
Yingqi Chen ◽  
Zongxue Chen

:Chord dome structure is a new type of hybrid prestressed spatial steel structure system, which is often used in large-span structures. During the construction of the structure, it is necessary to apply prestress to the ring cable. Taking the chord dome roof of Hebei North University gymnasium as an example, the whole process of prestressed cable construction is simulated and analyzed by using the finite element software ANSYS. The hoop cable of the dome roof can slide freely in the hoop direction, and the attribute of free sliding in the ANSYS interface is "coupling". In this paper, two kinds of simulation models, coupling and uncoupling, are established to compare, and then to explore the influence of coupling on the construction process of string dome structure.


2013 ◽  
Vol 40 (9) ◽  
pp. 917-926 ◽  
Author(s):  
Farzaneh Saba ◽  
Yasser Mohamed

This paper describes an ontology-driven framework for developing distributed simulation modeling of construction processes. The research described in the paper is motivated by the necessity of knowledge sharing between distributed simulation modeling collaborators, and reuse and portability challenges in construction simulation models. Our approach addresses these challenges through ontological modeling and linking of construction simulation modeling components including (i) ontology of construction process, (ii) ontology of simulation world view, and (iii) ontology of distributed simulation modeling application tool. Within the paper, ontology driven approach and mapping of ontologies for information transference between simulation components has been described. Another discussed application of ontologies is structuring of simulation modeling development through use of reusable elements. A large-scale distributed simulation model of industrial construction processes has been outlined to illustrate the application of the approach.


2006 ◽  
Vol 33 (12) ◽  
pp. 1505-1515 ◽  
Author(s):  
Y Mohamed ◽  
S M AbouRizk

The use of simulation techniques is an effective approach for modeling construction operations. Unfortunately, the high level of technical knowledge and development time required for building functional simulation models renders simulation modeling an impractical technology for many in the construction industry. Research in construction simulation tackles this conflict by providing modeling approaches that reduce the knowledge and time usually required for building simulation models of construction operations. Special purpose simulation (SPS) allows construction engineers with only minimal simulation knowledge to build practical simulation models. This paper presents a hybrid approach (HSPS) for effective and time-saving development of SPS tools. The approach utilizes visual, general purpose modeling elements to customize the simulation behaviors of new SPS elements, minimizing the programming effort required for developing these elements. This paper describes the theoretical background to the HSPS approach, its implementation, and a sample application successfully created subsequently. It also shows the results of an experiment quantifying the savings in development time achieved using this approach.Key words: automation, simulation models, computerized simulation, tunnel construction, construction management.


2005 ◽  
Vol 14 (1) ◽  
pp. 85-98 ◽  
Author(s):  
Tao-ming Cheng ◽  
Chung-wei Feng ◽  
Yan-liang Chen

Author(s):  
Photios G. Ioannou ◽  
Veerarsak Likhitruangsilp

The Puente del Alamillo in Seville, Spain, designed by Santiago Calatrava, has a single pylon that rises at an angle away from the deck, and which together with the deck resembles a harp whose strings are the cable stays from the pylon to the deck. It is the only bridge of its kind in the world whose pylon is not back-anchored, and its deck and pylon balance at a single massive footing below the pylon. This design made construction of the bridge very risky because the unfinished bridge had to be kept in balance like a giant teeter-totter until it could rest at the secondary support away from the pylon. A total of three construction plans were investigated by the contractor with the first two rejected and the third used for construction. Previous research presented simulation models for these three plans in CYCLONE along with construction time estimates for the bridge deck and pylon. Unfortunately, the published simulation models had mistakes that led to incorrect statistical results and conclusions. This paper describes these mistakes and presents three simulation models in EZStrobe that produce appropriate statistics and conclusions. These models can be used as practical examples for the application of discrete-event simulation to construction.


Author(s):  
SooWon Chang ◽  
JeongWook Son ◽  
WoonSeong Jeong ◽  
June-Seong Yi

As construction projects become larger and more complex, traditional construction planning and control practice which relies on historical data and heuristic adjustment can no longer produce a plan that incorporates all the managerial details such as productivity dynamics. In addition, the plan, more often than not, does not synchronize with the procurement schedule; as a result, the whole supply chain has failed to accomplish expected level of efficiency. In these regards, this paper presents a simulation framework that can not only predict productivity dynamics by considering factors affecting on productivity at the operational level, but also automatically generate a procurement plan harmonizing with the simulation results for reliable production management. We developed APIs for the framework 1) enabling a BIM model to produce input data for the construction operation simulation; 2) composing construction simulation in operational level; 3) facilitating the productivity prediction by providing BIMintegrated construction simulation models. The simulation framework had tested with structural steel erection cases. The results show that we can expect significant improvement of efficiency along supply chain including optimized resource allocation, schedule reliability increase, storage cost saving, and material loss reduction.


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