Reconstruction of the Building Infrastructure: Two Performance Prediction Models

Attalla, Mohamed; Hegazy, Tarek; Haas, Ralph

doi:10.1061/(asce)1076-0342(2003)9:1(26)

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Training is required to continuously adjust the connection weights until they reach values that allowed ANN to predict outputs that are very close to the actual outputs while being able to be generalized well on new cases [33].…”

Section: Othermentioning

confidence: 99%

Comparisons of Faulting-Based Pavement Performance Prediction Models

Wang

Qin

et al. 2017

Advances in Materials Science and Engineering

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Faulting prediction is the core of concrete pavement maintenance and design. Highway agencies are always faced with the problem of lower accuracy for the prediction which causes costly maintenance. Although many researchers have developed some performance prediction models, the accuracy of prediction has remained a challenge. This paper reviews performance prediction models and JPCP faulting models that have been used in past research. Then three models including multivariate nonlinear regression (MNLR) model, artificial neural network (ANN) model, and Markov Chain (MC) model are tested and compared using a set of actual pavement survey data taken on interstate highway with varying design features, traffic, and climate data. It is found that MNLR model needs further recalibration, while the ANN model needs more data for training the network. MC model seems a good tool for pavement performance prediction when the data is limited, but it is based on visual inspections and not explicitly related to quantitative physical parameters. This paper then suggests that the further direction for developing the performance prediction model is incorporating the advantages and disadvantages of different models to obtain better accuracy.

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Section: Othermentioning

confidence: 99%

Comparisons of Faulting-Based Pavement Performance Prediction Models

Wang

Qin

et al. 2017

Advances in Materials Science and Engineering

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“…In the commercial and institutional sectors, the annual expenditure on renovation projects has increased from close to $20 billion in 1992 to approximately $120 billion in 2007 [4][5][6][7]. This increasing investment in renovation projects has been attributed to the growing needs of public owners and governmental institutions, which represent a major clientele for renovation projects, in order to maintain and upgrade their infrastructure and built facilities [8]. Moreover, renovation projects mostly offer an economically viable alternative for public owners in comparison to new construction, as multiphase renovation projects tend to eliminate the need to close owner's operations during construction [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…While renovation projects are a growing sector of the construction industry, its performance is typically lower than that of new construction projects in terms of time, cost, and quality [3,8,9]. Previous research has concluded that renovation projects, unlike new construction projects, involve considerable risks and uncertainty in existing conditions that adversely impact the project performance [1,8,10]. Renovation of an operational facility poses additional constraints on its construction process, which if not considered during project planning processes could lead to project underperformance [1].…”

Section: Introductionmentioning

confidence: 99%

“…Both CMAA's owner survey and the Egan Report emphasize the significance of construction performance measurement, yet, with the high levels of complexity, uncertainty, and speed in renovation projects, the investigation of "what is to be measured" becomes extremely difficult [1,8,10]. Moreover, previous studies have concluded that there are numerous constraints in executing renovation projects which make traditional project planning and monitoring techniques inappropriate for measuring and controlling the performance [1].…”

Section: Introductionmentioning

confidence: 99%

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Investigation of Contemporary Performance Measurement Systems for Production Management of Renovation Projects

Singh¹,

Abdelhamid

Mrozowski

et al. 2014

Journal of Construction Engineering

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Renovation projects exhibit complex characteristics due to the presence of constraints that lead to cost and schedule overruns. Numerous researchers have concluded that the performance of renovation projects is typically lower than that of new construction projects. This paper discusses the initial phases of a research conducted at Michigan State University, which focused on developing a framework for production management of renovation projects. The emphasis of this paper is on the findings from literature review and interviews, pertinent to performance measurement in renovation projects that led to the framework development. However, the framework development and the framework itself have not been discussed. This paper primarily addresses two questions: (1) what are the complexities of renovation projects that lead to underperformance in cost, time, and quality? and (2) what are the limitations of state-of-the-art construction performance measurement systems for managing production in renovation projects? Interviews of 10 construction companies were conducted to identify current practices of production management in renovation projects. This research observed a lack of a formal production management process in renovation projects, with a limited use of performance measurement systems. The research identified essential attributes for avoiding schedule and cost overruns on renovation projects.

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