- BP 317DABOU
- 2250707372894/2250140347482
Regular inspections during construction work verify that the work completed is consistent with the plans and specifications and ensure that it is within the planned time and budget. This requires frequent physical site observations to... more
Regular inspections during construction work verify that the work completed is consistent with the plans and specifications and ensure that it is within the planned time and budget. This requires frequent physical site observations to independently measure and verify the completion percentage of the construction progress performed over periods of time. The current computer vision-based (CV) techniques for the measurement of as-built elements, predominantly use 3D laser scanning or 3D Photogrammetry modelling to determine the geometrical properties of as-built elements on construction sites. Both techniques require data acquisition from several positions and angles to generate sufficient information about the element’s coordinates making the deployment of these techniques on dynamic construction project sites a challenging task. In this paper, we propose a pipeline for automating the measurement of as-built components using artificial intelligence (AI) and computer vision (CV) techni...
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The authors urge the Western donor organizations to facilitate and support the take up of such more sustainable models
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The UK Government is committed to making BIM compulsory on all government projects by 2016. There is currently significant interest in adopting BIM systems in the design, construction, operation and refurbishment of buildings to deliver a... more
The UK Government is committed to making BIM compulsory on all government projects by 2016. There is currently significant interest in adopting BIM systems in the design, construction, operation and refurbishment of buildings to deliver a low carbon future. As a result, there is currently a burgeoning interest in BIM and many of the major contractors are increasingly adopting BIM and reviewing their BIM strategies and how they can work with their supply chain to create, manage and share information about projects. However, about 99% of the firms in the construction supply chains are SMEs. They face significant challenges in adoption such as choice of system to implement given that they are frequently involved in projects using different tools which may not easily interoperate and the high costs implementation. There is therefore a need for innovation in developing affordable BIM systems offering new and alternative business models to meet the needs of the significant majority in the...
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The urgent need to improve performance in the construction industry has led to the adoption of many innovative technologies. 3D laser scanners are amongst the leading technologies being used to capture and process assets or construction... more
The urgent need to improve performance in the construction industry has led to the adoption of many innovative technologies. 3D laser scanners are amongst the leading technologies being used to capture and process assets or construction project data for use in various applications. Due to its nascent nature, many questions are still unanswered about 3D laser scanning, which in turn contribute to the slow adaptation of the technology. Some of these include the role of 3D laser scanners in capturing and processing raw construction project data. How accurate are the 3D laser scanner or point cloud data? How does laser scanning fit with other wider emerging technologies such as building information modeling (BIM)? This study adopts a proof-of-concept approach, which in addition to answering the aforementioned questions, illustrates the application of the technology in practice. The study finds that the quality of the data, commonly referred to as point cloud data, is still a major issue...
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Climate change and global warming have triggered a global increase in the use of renewable energy for various purposes. In recent years, the photovoltaic (PV)-system has become one of the most popular renewable energy technologies that... more
Climate change and global warming have triggered a global increase in the use of renewable energy for various purposes. In recent years, the photovoltaic (PV)-system has become one of the most popular renewable energy technologies that captures solar energy for different applications. Despite its popularity, its adoption is still facing enormous challenges, especially in developing countries. Experience from research and practice has revealed that installed PV-systems significantly underperform. This has been one of the major barriers to PV-system adoption, yet it has received very little attention. The poor performance of installed PV-systems means they do not generate the required electric energy output they have been designed to produce. Performance assessment parameters such as performance yields and performance ratio (PR) help to provide mathematical accounts of the expected energy output of PV-systems. Many reasons have been advanced for the disparity in the performance of PV-...
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Clients are increasingly looking for fast and effective means to quickly and frequently survey and communicate the condition of their buildings so that essential repairs and maintenance work can be done in a proactive and timely manner... more
Clients are increasingly looking for fast and effective means to quickly and frequently survey and communicate the condition of their buildings so that essential repairs and maintenance work can be done in a proactive and timely manner before it becomes too dangerous and expensive. Traditional methods for this type of work commonly comprise of engaging building surveyors to undertake a condition assessment which involves a lengthy site inspection to produce a systematic recording of the physical condition of the building elements, including cost estimates of immediate and projected long-term costs of renewal, repair and maintenance of the building. Current asset condition assessment procedures are extensively time consuming, laborious, and expensive and pose health and safety threats to surveyors, particularly at height and roof levels which are difficult to access. We propose a method for automated detection and localisation of key building defects from images using deep learning a...
Research Interests: Mathematics, Computer Science, Artificial Intelligence, Analytical Chemistry, Machine Learning, and 14 moreSustainable Building Design, Structural Health Monitoring, Damage detection, Medicine, Sensors, Deep Learning, Concrete cracks, Building Defects and Failures in School Buildings, Cracks in Reinforced Beams Analysis, Damage prediction and Health Monitoring, Electrical And Electronic Engineering, Convolutional Neural Network, defects in buildings, and arXiv
The combination of artificial intelligence algorithms and numerical methods has recently become popular in the prediction of macroscopic and microscopic hydrodynamics parameters of bubble column reactors. The multi inputs and outputs... more
The combination of artificial intelligence algorithms and numerical methods has recently become popular in the prediction of macroscopic and microscopic hydrodynamics parameters of bubble column reactors. The multi inputs and outputs machine learning can cover small phase interactions or large fluid behavior in industrial domains. This numerical combination can develop the smart multiphase bubble column reactor with the ability of low-cost computational time. It can also decrease case studies for the optimization process when big data is appropriately used during learning. There are still many model parameters that need to be optimized for a very accurate artificial algorithm, including data processing and initialization, the combination of inputs and outputs, number of inputs and model tuning parameters. For this study, we aim to train four inputs big data during learning process by an adaptive neuro-fuzzy inference system or adaptive-network-based fuzzy inference system (ANFIS) m...
Research Interests: Mechanical Engineering, Neuroscience, Applied Mathematics, Computer Science, Artificial Intelligence, and 15 moreMachine Learning, Computational Fluid Dynamics, Computational Intelligence, Hybrid Systems Modelling, Computational Fluid Mechanics, Forecasting, Fluid Dynamics, Optimization, Artificial Neural Networks, Big Data, Bubble, Hydrodynamics, Computational Fluid Dynamics CFD, Hybrid Model, and Bubble column reactor
Appropriate estimation of soil settlement is of significant importance since it directly influences the performance of building and infrastructures that are built on soil. In particular, the settlement of fine-grained soils is critical... more
Appropriate estimation of soil settlement is of significant importance since it directly influences the performance of building and infrastructures that are built on soil. In particular, the settlement of fine-grained soils is critical because of low permeability and continuous settlement with time. Coefficient of consolidation (Cc) is a key parameter to estimate settlement of fine-grained soil layers. However, estimation of this parameter is time consuming, needs skilled technicians, and specific equipment. In this study, Cc was estimated using several soil parameters such as liquid limit (LL), plastic limit (PL), and initial void ratio (e0). Estimating such parameters in laboratory is straight forward and needs substantially less time and cost compared to conventional tests to estimate Cc such as oedometer test. This study presents a novel prediction model for Cc of fine-grained soils using gene-expression programming (GEP). GEP is a biologically inspired technique capable of offe...
Research Interests: Civil Engineering, Mathematics, Machine Learning, Soft Computing, Prediction, and 15 moreForecasting, Data Science, Deep Learning, Big Data, Estimation, Soil Engineering, Gene Expression Programming, Coefficient of Determination, Void Ratio, Soil Water, Preprints, Atterberg Limits, gene expression programming (GEP), Mean Squared Error, and evolutionary model
... They are supposed to help reduce the problem of information overload [7], and more im-portantly, to facilitate interoperability of distributed heterogeneous systems [8]. This paper aims to assess the agent metaphor as a support... more
... They are supposed to help reduce the problem of information overload [7], and more im-portantly, to facilitate interoperability of distributed heterogeneous systems [8]. This paper aims to assess the agent metaphor as a support mechanism for collaborative ...
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ABSTRACT Sustainability is fundamentally transforming construction industries worldwide. The nature of product demanded by tenants, constructed by developers, required by governments and favoured by capital providers is changing and... more
ABSTRACT Sustainability is fundamentally transforming construction industries worldwide. The nature of product demanded by tenants, constructed by developers, required by governments and favoured by capital providers is changing and becoming more complex. Seamless transfer of knowledge between the more divergent set of actors involved in these projects is required to deal with this complexity. The gap between the performance of green buildings as designed and as built could be interpreted as an indication that this transfer is not flawless. Nowadays almost every actor involved in the construction process claims to strive for sustainability. However, the way they perceive and translate it into practice varies widely between different construction project participants. Therefore a better understanding of how knowledge on sustainable construction is transferred and adopted is needed. A subsequent enhancement of this process could offer a solution to secure a certain standard of sustainable building quality. These issues are explored in an on-going research project comparing knowledge transfer practices in construction teams delivering office buildings to sustainable building standards in Germany and the UK, by using social network analysis. The paper sets out by providing a brief background of the context of the study. This is followed by the conceptual framework on knowledge transfer and the methodological approach. Thereafter selected initial findings and preliminary conclusions are discussed.
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This paper describes a research undertaken at South Bank University that investigated the feasibility of applying artificial intelligence methodologies to the optimization of excavating and haulage operations and the utilization of... more
This paper describes a research undertaken at South Bank University that investigated the feasibility of applying artificial intelligence methodologies to the optimization of excavating and haulage operations and the utilization of equipment in opencast mining. The selection of the excavating and haulage equipment to remove the overburden in opencast mining has a significant effect on the profitability of the operation. Thirty-five to fifty percent of the total cost of operating an opencast mine is attributed to excavation costs and 15–20% of the total cost is attributed to haulage costs. The decision to select equipment is often based on past experience, location, and different organizational pressures, as well as complex numerical computations. Therefore, the research was directed into the development of a decision support system XpertRule for the selection of opencast mine equipment (XSOME), which was designed using a hybrid knowledge-base system and genetic algorithms. The knowledge base within XSOME ...
Research Interests: Engineering, Civil Engineering, Computer Science, Evaluation, Genetic Algorithm, and 12 moreDecision support system, Numerical Simulation, System Architecture, Building, Excavation, Knowledge base, Application, Cost Analysis, Overburden, Haulage, Construction Engineering Management, and Profitability Index
The construction industry is greatly plagued by risk; too often, this risk is not dealt with adequately, resulting in poor project performance. Communication of construction project risks in practice is poor, incomplete and inconsistent,... more
The construction industry is greatly plagued by risk; too often, this risk is not dealt with adequately, resulting in poor project performance. Communication of construction project risks in practice is poor, incomplete and inconsistent, both throughout the supply chain and through the project lifecycle. Part of the problem is the lack of a formalized approach to the project risk management process. Recently, attempts have been made to overcome this and this paper uses these attempts as a foundation for building a better approach to construction risk management. Underlying this approach is the development of a common language for describing risks and remedial actions. This is grounded in a taxonomy of risk based on a hierarchical risk breakdown structure. In addition, to facilitate the production of a working risk management system, a number of models have been developed using unified modelling language (UML) and IDEFO. Finally, the use of the system has been tested via a working software prototype. This prototype is being used as a basis for discussion with practitioners with regard to the practical requirements of the approach for further development.
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Quantitative risk analysis is usually ignored in construction risk management, although numerous techniques are available. One of the shortcomings of conventional quantitative risk analysis techniques is that they can only analyse either... more
Quantitative risk analysis is usually ignored in construction risk management, although numerous techniques are available. One of the shortcomings of conventional quantitative risk analysis techniques is that they can only analyse either duration or cost risks. In view of this, an integrated ...
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Data base management technology can improve the quality and reduce the cost of temporary works design. This is achieved by allowing the computer to handle the tedium of translating and transmitting data between programs and allowing the... more
Data base management technology can improve the quality and reduce the cost of temporary works design. This is achieved by allowing the computer to handle the tedium of translating and transmitting data between programs and allowing the designers to concentrate on the quality of the underlying design. This paper lays the foundation for the use of microcomputer data base management technology in temporary works design, using formwork design as the problem base. It concentrates on the development of a data base management system called dBFICADS. It has been used to support the data‐handling requirements of an integrated computer‐aided design system for form‐work Key issues regarding information modeling, DBMS implementation, and the interface between the DBMS and application programs are addressed.
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SUMMARY: Building construction is a very important development activity of any country. In addition to its basic role of providing shelter, the sub-sector contributes significantly to the Gross Domestic Product of both developing and... more
SUMMARY: Building construction is a very important development activity of any country. In addition to its basic role of providing shelter, the sub-sector contributes significantly to the Gross Domestic Product of both developing and developed countries, and plays an equally important role in the creation of employment. Unfortunately, the way building projects are managed in developing countries has often led to the under- or non-exploitation of the potential of these projects. Many factors, including inaccurate estimation techniques, poor and the challenge in predicting building construction labour cost, contribute to the poor management of building construction projects. Thus labour costing has become a key parameter for use in building construction projects. This article aims to investigate the use of an ontology-based technology in modelling information about labour costs in order to facilitate decision-making among building developers. This is achieved by pursuing two objective...
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This data paper shows the perspectives by developers of housing on factors of the sustainable construction adoption. The Data was collected by using formal Likert scale questionnaire as main instrument. Simple random sampling was used to... more
This data paper shows the perspectives by developers of housing on factors of the sustainable construction adoption. The Data was collected by using formal Likert scale questionnaire as main instrument. Simple random sampling was used to assign questionnaires to respondents. Data samples were evaluated using index and rating. The data will provide information on the most variables that considered as main factors for sustainable construction adoption. The importance between variables can provide information that will contribute to the expedition of sustainable practise in housing projects in Malaysia.
Research Interests: Medicine and Likert Scale
The global quest for sustainability in the exploitation of resources and the need for carbon foot-print reduction has resulted in the development of a large number of innovations and a huge amount of knowledge on sustainable building... more
The global quest for sustainability in the exploitation of resources and the need for carbon foot-print reduction has resulted in the development of a large number of innovations and a huge amount of knowledge on sustainable building technologies. Unfortunately, users are being overwhelmed with information overload in this area such that it is difficult for them to make informed choices.