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Constructing Dispute Scenarios in Building Information Modeling Oluwole Alfred Olatunji1 Abstract: Somehow, disputes are inevitable in the construction industry. Rather than being carried away by the psychological nuances that are associated with relational strains in disputes, construction literature contains a wealth of knowledge on how to make the best of adversarial relationships. Disputes may be undesirable, but having appropriate knowledge on how to manage disputes often leads to better outcomes for both the disputants and the project. To achieve this, contract parties have had to limit uncertain circumstances around project environments and dispute causatives. They must also be prepared to solve them before they occur or immediately after their occurrence. The aim of this study is to use chaos theory to explain the nature of interdependencies in building information modeling (BIM). From this, dispute scenarios are developed such that their resolution frameworks are made clearer. The scenarios were validated with a review of court decisions on cases that are similar to those illustrated in the scenarios. In the end, conclusions are drawn on areas for further research. DOI: 10.1061/(ASCE)LA .1943-4170.0000165. © 2015 American Society of Civil Engineers. Author keywords: Building information modeling (BIM); Chaos theory; Disputes; nD integration; Scenario thinking. سناریوهای مناقشات قابل اتفاق در مدل سازی اطلاعات ساختمان. مقاله جدید در مورد BIM از ASCE منبع : [Hidden Content] 4_411763715872915714.rar

Estimation of Daily Discharge of Baranduz River via Chaos Theory Original Article, D45 Pour Mohammad Aghdam A, Asheghi R, Merufinia E. J. Civil Eng. Urban. 4(3): 293-297. 2014 ABSTRACT: The chaotic behavior of monthly precipitation time series is investigated using the phase-space reconstruction technique and the principal component analysis method. To reconstruct phase space, the time delay and embedding dimension are needed and for this purpose, average mutual information and algorithm of false nearest neighbors are used. The delay time for Baranduz River is calculated via the average mutual information method which is equal to 66. The most suitable inscribed dimension, by use of false nearest neighbors approach, is about 28. The correlation in time series of water flow is equal to 3.1 which require at least 3 variables to describe the system. The low value of correlation in daily scale is an indication of the existence of chaos in the water flow of Baranduz Chay River. Keywords: Baranduz Chay River, Chaos Theory, Correlation Dimension, Delay Time منبع: [Hidden Content] دانلود: [Hidden Content].,%204%20(3)%20293-297,%202014.pdf J. Civil Eng. Urban., 4 (3) 293-297, 2014.pdf

Evidence of Low-Dimensional Determinism in Monthly Water Level Time Series in Lake Van, Turkey Original Article, B39 Daneshfaraz R, Asadi H, Saghebian SM. Journal. Civil Eng. Urban. 2(6): 220-225. 2012. ABSTRACT:Adequate knowledge of lake water level variations is important for proper planning and management of water resources and design of environment. In this study chaotic behavior of monthly water level variations in the lake Van during January 1944 - April 2002 is investigated. The lake Van is the largest lake in Turkey. The methods and indicators of chaos theory (power spectrum, average mutual information, false nearest neighbours, correlation dimension and largest Lyapunov exponents) were applied. The value of power spectrum (4.1) indicate that chaotic (fractal) behavior to the lake water level time series. The optimal delay time (5 month) and embedding dimension (5) are obtained from average mutual information and false nearest neighbours techniques, respectively. Optimal values are then used for the estimation of the correlation dimension and the largest Lyapunov exponent for inspecting possible signatures of chaotic dynamics. The low correlation dimension (3.2) suggest the presence of low-dimensional chaos; also imply that the water level dynamics are dominantly governed by four variables. The positive largest Lyapunov exponent value (0.0085) indicated a signature of chaos. These results give a positive indication towards considering lake water level as a chaotic system. Keywords:Chaos theory, Correlation dimension, Lyapunov exponent, Power spectrum, Time series, Van Lake. منبع: [Hidden Content] دانلود: [Hidden Content],%20B%2039%20220-225.pdf JCEU, B 39 220-225.pdf

The Presence of Chaotic Behavior in Monthly Soil Temperature Time Series by Correlation Dimension Method Original Article, B37 Aalami M.T. Journal. Civil Eng. Urban. 2(6): 207-213. 2012. ABSTRACT:Soil temperature can fluctuate dynamically, suggesting a possible chaotic behavior in such time series, as this can have a significant bearing on hydrological models, solar energy and other agricultural applications. Hence, this paper reports an investigation into the detection of a possible existence of chaotic behavior in the monthly soil temperature time series at five depths (5, 10, 20, 50 and 100 cm) below the ground level in a recorded data (an observation station in Adana, Turkey). For this purpose, the correlation dimension method, as a customary indicator of chaotic behavior, was derived from the data record over a period of 8 years (January 2000 - December 2007). The low correlation dimensions at five depths suggest the presence of low-dimensional chaotic behavior in the soil temperature dynamics. Keywords:Chaos theory, Correlation dimension, Time series, Soil temperature منبع: [Hidden Content] دانلود: [Hidden Content].,%20B%2037%20207-213.pdf JCEU., B 37 207-213.pdf

Local Prediction in River Discharge Time Series Original Article, B9 Ghorbani MA, Daneshfaraz R, Arvanagi H, Pourzangbar A, Saghebian SM, Kaveh Kar SH. Journal. Civil Eng. Urban. 2(2): 51-55. 2012. ABSTRACT: In this paper, chaotic behavior of the daily river discharge time series from the Karoon River, during January 1999-December 2004 is investigated. The phase space, which describes the evolution of the behavior of a nonlinear system, is reconstructed using the delay embedding theorem suggested by TAKENS. The delay time used for the reconstruction is chosen after examining the first minimum of the average mutual information (AMI) of the data. It is found that a delay time of 40 days and the sufficient embedding dimension is estimated using the false nearest neighbor algorithm which has a value of 8 for the river flow time series. Based on these embedding parameters we calculate the average divergence rate of nearby orbits given by the largest Lyapunov exponent. The largest Lyapunov exponent 0.0255 for is estimated. In this study the local prediction model has been applied to predict daily discharge time series. In this prediction model, the dynamics of the system are described step by step locally in the phase space, the results are quite satisfactory. Keywords: Chaos theory; Karoon River; Local Prediction; Lyapunov exponent; Time series منبع: [Hidden Content] دانلود: [Hidden Content].,B9-51-55.pdf J. Civil Eng. Urban.,B9-51-55.pdf