Energy Evaluation of Highway Construction Using Neuro-Fuzzy Techniques

Abstract:

Most construction activities are carried out with heavy machinery. In the process of construction, energy is directly consumed by using construction machinery. Energy consumption of construction machinery can vary according to the scale, the deterioration of machinery, the difficulty of operating machinery, the ability of construction personnel to work, and the working condition. An approach for construction managers to assess the effect of these factors on the energy consumption is rarely deployed. Current methods depend mainly on the experience and subjective judgment of the project managers, who may be unfamiliar with the impact of these factors on energy consumption of construction machinery, and thus, often times produces inaccurate results. This paper presents a model that utilizes historical data and experts’ knowledge, and employs fuzzy set concept for assessing the factors having the impact on energy consumption of construction machinery. Based on the model, a fuzzy reasoning knowledge-based energy evaluating system is proposed. A case study involving highway construction projects implemented in two geographic areas with different working environments is presented to illustrate the salient features of the system that allows users to simulate experts’ judgment and to demonstrate the capability and effectiveness of the system that can assist contractors to better estimate energy consumption of construction machinery for highway construction projects.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 3873-3877
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.3873
• Online since: January 2012
• Authors: Thoedtida Thipparat
• Keywords: Knowledge Base, List the Energy Consumption, Neuro-Fuzzy, Risk Management (RM)

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