Formwork System Selection Model for Tall Building Construction Using the Adaboost Algorithm

Shin, Yoonseok

doi:10.5345/jkibc.2011.11.5.523

Cited by 12 publications

(16 citation statements)

References 14 publications

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“…Desai and Joshi (2010) used a decision tree to analyze labor productivity in construction projects [23]. Shin (2011) proposed the AdaBoost algorithm for the selection of a framework system in construction projects [24]. The algorithm was compared with an ANN model and the results revealed that the AdaBoost algorithm performed with better accuracy than the ANN model.…”

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confidence: 99%

Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model

Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

Ali

Salih

et al. 2020

Sustainability

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Project delays are the major problems tackled by the construction sector owing to the associated complexity and uncertainty in the construction activities. Artificial Intelligence (AI) models have evidenced their capacity to solve dynamic, uncertain and complex tasks. The aim of this current study is to develop a hybrid artificial intelligence model called integrative Random Forest classifier with Genetic Algorithm optimization (RF-GA) for delay problem prediction. At first, related sources and factors of delay problems are identified. A questionnaire is adopted to quantify the impact of delay sources on project performance. The developed hybrid model is trained using the collected data of the previous construction projects. The proposed RF-GA is validated against the classical version of an RF model using statistical performance measure indices. The achieved results of the developed hybrid RF-GA model revealed a good resultant performance in terms of accuracy, kappa and classification error. Based on the measured accuracy, kappa and classification error, RF-GA attained 91.67%, 87% and 8.33%, respectively. Overall, the proposed methodology indicated a robust and reliable technique for project delay prediction that is contributing to the construction project management monitoring and sustainability.Sustainability 2020, 12, 1514 2 of 14 in terms of litigation, dispute and arbitration [5]. Delays are caused by many sources and factors such as the owner [6,7], designer [3,8], contractor [4,7], materials [4,7], project [7,8], labor [9] and external factors [3,10]. Literature ReviewThe prediction of project delay based on internal and external sources can help project managers to provide an accurate forecast of the project schedule, and this can assist a proactive management approach in the construction project [11]. Construction projects are dynamic and complex, included a huge number of project stockholders, feedback processes and non-linear relationships [12]. The existence of a delay problem is related to interdependent factors that affect the construction project and the complexity and uncertainty of construction activities. Thus, providing of an efficient tool for analyzing delay factors is key for estimating an accurate duration in construction projects [11].By recalling previous studies, Chan (2001) used regression analysis to identify time-cost relationships for building projects in Malaysia [2]. This approach was developed for managers and owners to estimate the average time that is required for project delivery. Chan and Chan (2004) performed multiple regression exercises to analyze data related to the time performance of construction projects [13]. The results indicated that multiple regression was used as a useful method to predict time performance in construction projects. Rezaie et al. (2007) used Monte Carlo analysis to investigate the effects of uncertainties on the schedule performance [14]. The results revealed that this method is a good tool to simulate the relationship of uncertainties of construct...

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confidence: 99%

Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model

Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

Ali

Salih

et al. 2020

Sustainability

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“…The problem of selecting optimal formwork systems has been extensively studied in the literature [17][18][19][20]. A number of studies have proposed the application of neural network theory or expert systems [19,[21][22][23]. To assist the contractor with the formwork selection problem, Shin et al [24] presented a decision-support model using AdaBoost to select a formwork system suitable for the construction site conditions.…”

Section: Formwork Selection Problemmentioning

confidence: 99%

Optimization of Vertical Formwork Layout Plans Using Mixed Integer Linear Programming

Biruk

Jaśkowski

2016

Int J Civ Eng

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A formwork is a structure used to contain poured concrete and to mold it to the required dimensions. Different formwork systems provide a wide range of concrete construction solutions that can be chosen to suit the needs of a particular structure. The selection of panels and the design of the formwork layout for concrete structures, especially if the panels are to be reused many times to form different work zones, are one of the most complex tasks in formwork construction. It influences the quality of work, construction time, site safety and cost. The formwork costs account for a significant part of the total costs for concrete works. The problem of the selection and layout of reusable panel forms is solved mainly based on the intuitive judgment of experienced engineers in collaboration with the form system supplier. This study proposes a mixed integer linear programming modeling approach to support the formwork planning process. The problem consists in determining the number and sizes of the panels according to the geometry of the concrete elements to minimize the rental cost of wall shuttering in a building divided into work zones that are to be completed in sequence, reusing the chosen panels. The model can be solved using typical software dedicated to mixed integer linear programs. A simple example is used to illustrate the efficiency of the proposed approach, where the formwork rental cost is 7.31 % lower than the rental costs of panels and corners optimized without consideration of the reuse in consecutive zones.

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“…An appropriate formwork system is always cost and labor effective. Formwork always determines the cycle per floor of high rise building which affects the construction cost and subsequent activities [30]. Selection of formwork for a construction is mostly based on experience or decided by the high level authority in an organization.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation on Selection of Formwork Systems in High Rise Buildings Using Regression Analysis and Their Impacts on Project Success

Rajeshkumar

Sreevidya²

2019

Archives of Civil Engineering

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The selection of the formwork system for high rise building affects the entire construction project duration and cost. The study reports the factors influencing the selection of different formwork system in the construction of high rise buildings through structural questionnaire survey from the client, contractor, consultant, and interviews with expert members. Total of 40 technical factors was identified from the literature and 220 filled questionnaires were received from the respondent. Relative Importance Index method is used to find the topmost factors affecting the selection of formwork system. Additionally, from factor analysis 22 factors were identified to have a correlation with one another. Regression analysis reveals that duration of the project, maintenance cost, adaptability, and safety have impact on formwork selection across time, cost and quality. These findings could potentially increase the construction company’s existing knowledge in relation to formwork selection.

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Formwork System Selection Model for Tall Building Construction Using the Adaboost Algorithm

Cited by 12 publications

References 14 publications

Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model

Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model

Optimization of Vertical Formwork Layout Plans Using Mixed Integer Linear Programming

Performance Evaluation on Selection of Formwork Systems in High Rise Buildings Using Regression Analysis and Their Impacts on Project Success

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