A Simplified Framework for Condition Prediction of Building Components
International Journal of Civil Engineering |
© 2018 by SSRG - IJCE Journal |
Volume 5 Issue 8 |
Year of Publication : 2018 |
Authors : T.C. Nwofor, O. ThankGod |
How to Cite?
T.C. Nwofor, O. ThankGod, "A Simplified Framework for Condition Prediction of Building Components," SSRG International Journal of Civil Engineering, vol. 5, no. 8, pp. 32-39, 2018. Crossref, https://doi.org/10.14445/23488352/IJCE-V5I8P105
Abstract:
Infrastructural facilities represent a major part of any urban development and irrespective of their contribution to the social-economic life of the community; it is evident that most of these infrastructures are in a deteriorating state especially in the developing world like Nigeria. The art maintaining a building is very essential in order that the building is able to perform and function adequately and for a longer time even after its design life. The main input in this research which is also aimed at filling a gap in available literature is the development of a condition assessment system that incorporates both physical and maintenance cost condition which related to available work orders for the different components that make up building. It is estimated that most of the building facilities belonging to the government have exceeded about 70% of their service life and it is expedient to formulate a simplified frame work that would assist in prioritizing the maintenance of the critical components of the a building infrastructure. In this research reliable data are collected from facility experts through questionnaires in order to assign reliable condition index to the components adopting the USACERL method and also relative weights obtained through an analytical component hierarchy system (ACHS), where the components in the building are rated based on their total number of work orders. The proposed method was implemented and tested using data collected from facility experts employed as works officers in facility. A general condition of the building was put as 47% rating which compared favorably with a value of 42% predicted with the developed condition assessment framework which has to great extent validated the method as a potential model framework for assessment of building infrastructures.
Keywords:
Nigeria, maintenance, USACERL, ACHS
References:
[1] American Society for Civil Engineering (ASCE 2005). Report card for America’s infrastructure. Washington, DC, U.S.A, http://www.asce.org/reportcard/2005/index.cfm, accessed April 3, 2007.
[2] Kumudu Chathurani Dharmasena Vidana Gamage,"Structural Performances of Buildings against Blast Loading",International Journal of Civil Engineering (SSRG-IJCE),Volume3 Issue9 2016.
[3] Bordogna, J. (1995). Civil Infrastructure Systems: Ensuring their Civility, Journal of Infrastructure Systems, 1(1). 3-5.
[4] Hudson, W. R., Hass, R., and Uddin, W. (1997). Infrastructure Management, McGraw-Hill, New York, U.S.A.
[5] Sule, S., Nwofor, T.C. and Onwuka, D.O. (2015). Probabilistic risk assessment of concrete component of an existing building. International Journal of Scientific and Engineering Research 6(5), 1668-1673.
[6] Saravanan J, Sridhar M" Construction Technology, Challenges and Possibilities of Low-Carbon Buildings in India"International Journal of Civil Engineering (SSRG-IJCE),Volume2 Issue11 2015.
[7] Vanier, D. J, (2000). Advanced asset management: tools and techniques. Innovations in Urban Infrastructure Seminar of the APWA International Public Works Congress. Lousville, KY, USA, pp.39-57.
[8] Uzarski, D. R. and Burley, L. A. (1997). Assessing building condition by the use of condition Indexes. Proceedings of Infrastructure Condition Assessment: Art, Science and Practice, ASCE, Boston, 365-374.
[9] Er. Nishant Rana, SiddhantRana," Structural Forms Systems for Tall Building Structures"International Journal of Civil Engineering (SSRG-IJCE), Volume1 Issue4 2014.
[10] RECAPP (2006). RECAPP® 1.0 Training Manual, Physical Planning Technologies Inc.Toronto, Canada.
[11] BUILDER (2002). BUILDER user guide, U.S. Army. Engineering Research and Development Centre - Construction Engineering Research Laboratory (ERDC-CERL). Champaign, Illinois, U.S.A, May 2002.
[12] Brandt, E. and Rasmussen, M. H. (2002). Assessment of building conditions. Energy and Buildings, 34(2). 121-125.
[13] Greimann, L., Stecker, J., Rens, K., McKay, D., and Foltz, S. (1997). Condition assessment of lock and dam Structures. Proceedings of Infrastructure Condition Assessment: Art, Science and Practice, ASCE, Boston, 385-394.
[14] Uzarski, D. R. (2002). Condition assessment manual for building components, for use with BUILDER Version 2.1, March 2002.
[15] Elhakeem, A. and Hegazy, T. (2005a). Towards a visual guidance system for condition assessment of the building infrastructure. Proceedings of 1st CSCE Specialty Conference on Infrastructure Technologies, Management, and Policies, CSCE, Toronto, Ontario, Canada, June 2-4, FR-159.
[16] Lee, H. and Chou, E. (1993). Survey of image processing applications in Civil engineering. Proceedings of the Conference on Digital Image Processing: Techniques and Applications in Civil Engineering, Kona, Hawaii, February 28- March 5, ASCE, 203-210.
[17] Weber, R.(1997). Ontological foundations of information systems. Coopers &Lybrand, and Accounting Association of Australia and New. Coopers & Lybrand
[18] Moody, D. L., Sindre, G., Brasethvik, T., and Sølvberg, A. (2003). Evaluating the quality of information models: empirical testing of a conceptual model quality framework." Proceedings of the 25th international conference on Software engineering, IEEE Computer Society, 295-305.