Publications / 2017 Proceedings of the 34rd ISARC, Taipei, Taiwan

Flexible Management for Concrete Curing at Low Temperature Based on Learning from Cases

Karol Andrzejczak, Andrzej Karlowski and Jerzy Paslawski
Pages 112-119 (2017 Proceedings of the 34rd ISARC, Taipei, Taiwan, ISBN 978-80-263-1371-7, ISSN 2413-5844)

The ability to make the right decisions during the construction process ensures online monitoring of process in progress and the environment. The use of wireless technologies to collect data from sensors and transmit data over the Internet and mobile networks creates new opportunities in this field. A goal of paper is to present decision table including different technological options for ready mix concrete pouring and curing based on process in progress and environment monitoring and learning from cases. Technological decision-making is based on three levels: (1) planning operation based on climate – adverse weather conditions (winter period is eliminated), (2) weather forecast and actual conditions, (3) on-line process in progress monitoring and environment including simulation and warning system. Based on this idea on can use robust (for normal scenario) and/or adaptation (for negative scenario) and finding the best parities for flexible tactics. Assessment of all technological options is given in decision table based on case based analysis using data mining technology. The case study shows the possibility of flexible management of construction processes using different technology (formwork heating, the use of admixtures, heating the concrete mixture, the addition of PCM, etc.). First flexible tactics is based on robustness taken for normal scenario. The second (complementary) strategy is adaptability that provides the ability to heat the formwork in case of freezing emergency. Right parity of passive and active flexibility in operation management assures quality in adverse weather condition.

Keywords: Flexibility, phased decision system, construction operation, concrete modification, robustness, learning from cases, risk management