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M. Krzaczek and J. Tejchman

sizes for optimizing occupational comfort and hygiene based on computational fluid dynamics and neural networks. Building and Environment 2011, 46, 298-314. 7. ASHRAE. ASHRAE standard 62.1 - ventilation for acceptable indoor air quality. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers 2006. 8. P. O. FANGER. Human requirement in future air-conditioned environments: a search for excellence. In: Proceedings of ISHVAC’99, Shenzhen, China, 1999, 86-92. 9. G. M. STAVRAKAKIS, P. L. ZERVAS

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S. A. Hosseini, A. Akbarpour, H. Ahmadi and B. Aminnejad

Abstract

Underground spaces having features such as stability, resistance, and being undetected can play a key role in reducing vulnerability by relocating infrastructures and manpower. In recent years, the competitive business environment and limited resources have mostly focused on the importance of project management in order to achieve its objectives. In this research, in order to find the best balance among cost, time, and quality related to construction projects using reinforced concrete in underground structures, a multi-objective mathematical model is proposed. Several executive approaches have been considered for project activities and these approaches are analyzed via several factors. It is assumed that cost, time, and quality of activities in every defined approach can vary between compact and normal values, and the goal is to find the best execution for activities, achieving minimum cost and the maximum quality for the project. To solve the proposed multi-objective model, the genetic algorithm NSGA-II is used.

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P. Olszewski, B. Osińska, P. Szagała, P. Skoczyński and A. Zielińska

. 277–282, 1995. 5. M. Chisvert, E. López-de-Cózar, and M. L. Ballestar, “Quality and representativity of the traffic accident data in urban areas. State of the Art”, 2007. 6. Y. Chung and I. Chang, “How accurate is accident data in road safety research? An application of vehicle black box data regarding pedestrian-to-taxi accidents in Korea.”, Accid. Anal. Prev., vol. 84, pp. 1–8, 2015. 7. F. Conche and M. Tight, “Use of CCTV to determine road accident factors in urban areas”, Accid. Anal. Prev., vol. 38, no. 6, pp. 1197–1207, 2006. 8

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Archives of Civil Engineering

The Journal of Polish Academy of Sciences

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G. Elangovan and V.M. Rajanandhini

Abstract

Hallmark professionalism in probabilistic analysis is to quantify the uncertainties involved in construction materials subject to intrinsic randomness in its physical and mechanical properties and is now gaining popularity in civil engineering arena. As well, knowledge of behaviour of materials is continuously evolving and its statistical descriptors are also changing when more and more data collected or even data updated and hence reliability analysis has to be carried out with the updated data as a continuous process. As per the committee report ACI 544.2R, it is found that there is no attempt made for probabilistic relation between cube compressive strength and cylinder compressive strength for fiber reinforced concrete. In consequence of this report, a robust relation between cube and cylinder of experimentally conducted compressive strength was established by Monte-Carlo simulation technique for different types of fibrous concrete like steel, alkali resistant glass and polyester fibrous concrete before and after thermoshock considering various uncertainties. Nevertheless simulated probabilistic modals, characteristic modals, optimized factor of safety and allowable designed cylinder compressive strength have been developed from the drawn probability of failure graph, which exhibits robust performance in realistic Civil Engineering materials and structures.

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I. Skrzypczak and L. Buda-Ożóg

References 1. GOVINDARAJU K., Single sampling plans for variables indexed by AQL and AOQL, Journal of Quality Technology, Vol. 22, No. 4, pp 310-313,1990, 2. FABER M., KOEHLER J., NISHIJIMA K., Applications of Statistics and Probability in Civil Engineering, Taylor & Francis Group, London 2011, pp. 763-764, 3. GULVANESSIAN H., HOLICKY M.: Designer's handbook to Eurocode, Thomas Telford, London 1996, 4. NOWAK A.S, COLLINS K.R: Reliability of Structures. McGraw-Hill Higher Education, 2000

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E. Radziszewska-Zielina and B. Szewczyk

Helion, Gliwice, 2002. 11. A. Piegat, “Modelowanie i sterowanie rozmyte”, Akademicka Oficyna Wydawnicza EXIT, Warszawa, 2003. 12. E. Radziszewska-Zielina, “Fuzzy control of the partnering relations of a construction enterprise” Journal of Civil Engineering and Management, 17(1), pp. 5–15, 2011. 13. E. Radziszewska-Zielina, B. Szewczyk, “The model of partner relationships’ impact on time, cost, quality and safety in construction projects” International Scientific Conference People, Buildings and Environment, 15-17.10.2014, Brno University of Technology

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J. Konior

, 1998, 5.4, pp. 339-349 7. Ibadov N., Kulejewski J., “The assessment of construction project risks with the use of fuzzy sets theory”, Technical Transactions, Cracow University of Technology, 2014, , pp. 175-182. 8. Kacprzyk J., “Fuzzy sets in systematic analysis”, PWN, Warsaw 1986, pp. 25-28, 67-72 9. Konior J., ”Risk management in PM Group Polska. Quality Management System”, PM Group, Ireland, 2003-2015 10. Mak, S.; Picken, D., “Using risk analysis to determine construction project contingencies”, Journal of Construction Engineering and

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B. Botea and I. Marinescu

5. REFERENCES [1] H. Albert, N. Golovanov, C. Golovanov, L. Elefterescu, „ Nowadays Problems Regarding Quality Monitoring of Electric Power (Probleme actuale privind monitorizarea calității energiei electrice)” , CEEE 2003 [2] C. Gherasim, T. Croes, J. Driesen, R. Belmans, „Amplitude, Phase and frecquency Estimation based on Analytical Representation of Power System Signals” , Proceedings of the International Conference on Power System Transients, June 19-23 Montreal, canada, 2005 [3] Albert H., Florea I., Iordanescu I., „Industrial

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X. R. Ding, Y. Y. Guo and Y. Y. Chen

Quality and Children’s Health in Beijing". Applied Mechanics and Materials, 368-370(1): 525-530,2013. 18. D. Biau. "Laminar-turbulent separatrix in a boundary layer flow”. Physics of Fluids. 24(3): 263-268,2012. 19. F. R. Menter, Y. Egorov. ’The Seale-Adaptive Simulation Method for Unsteady Turbulent Flow Predictions. Part 1: Thooty and Model Description”, Flow Turbulence & Combustion. 85( 1): 113-138,2010. 20. Z. Kang, Y. Zhang, H. Fan, ct al. "Numerical Simulation of Coughed Droplets in the Air-Conditioning Room