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Ahmed Laaroussi, Bruno Fiès, Rémi Vankeisbelckt, Julien Hans

Ontology-aided FMEA for construction products

Abstract: The goal of improving the quality and the maintenance of building products, and the will to integrate the sustainable development objectives led us to propose an original method based on the use and adaptation of the Failure Modes Effects and Criticality Analysis (FMEA). This method relies among others on ontology use. It facilitates the FMEA proceeding. This paper aims to introduce innovative software specifically developed to perform more easily FMEA on building components. This software takes advantages of a structured knowledge base and an inference rule engine that allow a complete and formal description of the product to be analysed and an exhaustive analysis of all failures (degradations) that may occur.

Keywords: FMEA, ontological approach, knowledge capitalisation, degradation analysis, construction product

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Series: w78:2007 (browse)
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Ammar Al-Bazi

ENTERPRISE SIMULATION OF THE PRECAST CONCRETE MANUFACTURING INDUSTRY

Abstract: The lack of applied innovative tools, for improving the performance of the precast concrete products manufacturing industry, has led the researchers in this paper to develop an Enterprise Simulation Precast Concrete (ESPC) model, to improve the performance of the precast industry. As an initial stage, a detailed layout for the precast concrete production processes is developed in order to understand the relationships amongst the manufacturing processes in such industry. In addition, simulation methodology is developed to analyse the precast manufacturing system and identify the resource bottlenecks. Heuristic searching rule is developed in order to simulate the accommodation process of the produced items in a temporary stockyard area.The results indicated low utilisation of the used resources due to using only one curing area for storage and retrieval processes.

Keywords: Precast concrete products, enterprise simulation model, discrete event simulation modelling, manhole manufacturing system, heuristic searching rule

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Series: w78:2008 (browse)
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Anastasiya Yurchyshyna, Catherine Faron Zucker, Nhan Le Thanh, Celson Lima, Alain Zarli

Towards an ontology-based approach for conformance checking modeling in construction

Abstract: This paper gives an overview of a formal ontological approach of conformance models for regulations in Construction aiming at answering the research question: “is an IFC-represented building project compliant to a set of construction rules?” The study analyses three key subtasks: (i) transformation of the IFC of the construction project; (ii) regulations formalisation; (iii) conformance checking reasoning. While analysing the IFC model redundancy and/or insufficiency for conformance checking reasoning, we suggest an intermediate RDF-based model, semantically en-riched and regulation-oriented. The regulation formalisation is studied under two viewpoints: the formalisation of pa-per-based regulation texts to be automatically used in reasoning and the development of the representation of ontology-based regulations. The construction rules are represented as a set of rules which premise and conclusion are RDF graphs. The conformance checking starts from the alignment of the construction project ontologies to the prem-ise/conclusion ontologies of the construction rule. Then, the checking in construction is seen as reasoning in terms of the corresponding RDF graphs. The paper concludes with a preliminary conceptual framework based on Semantic Web technologies modeling the conformance checking problem, as well as the technical solutions for its implementation. The respective architecture and future challenges of the work are also discussed.

Keywords: conformance checking, ontologies in construction, e-regulations, construction project conformance to regulations, semantic web in construction

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Series: w78:2007 (browse)
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Bellot Matas I

BECOC: a knowledge bank and its use in construction and CAD systems

Abstract: The development of the BECOC prototype (Structured Knowledge Bank for Construction Elements) was undertaken in order to test the integration of Data and Knowledge using the SITEC model (Construction Technology Information System). After the graphical definition of a building exterior, the assignment of the construction solutions is dynamically controled using the Knowledge Bank for real time decision making. To represent the knowledge that acts on the data the knowledge bank consists of an Object Oriented Data Base and a Rule System, developed using the NEXPERT/OBJECT package. In this manner it is possible to establish relationships among properties, concepts, restrictions in values, structural relations and the control of standards compliance, which in this case has been limited to thermic, acoustic and weight requirements. The system helps the user to take decisions and it analyses the context in order to make the deductions needed to maintain internal data consistency. The positive results of this work indicate the way €or further developments, and demonstrate that expert systems and traditional technologies coupled together can be effective and give the desired answers in monitoring design in the everyday problems in construction technology.

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Full text: content.pdf (977,770 bytes) (available to registered users only)

Series: w78:1991 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.store (0.066751) class.analysis (0.031103) class.synthesis (0.023636)
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Permission to reproduce these papers has been graciously provided by Eindhoven University of Technology.


Bodo Kraft and Daniel Retkowitz

Rule-Dependencies For Visual Knowledge Specification In Conceptual Design

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Full text: content.pdf (1,455,587 bytes) (available to registered users only)

Series: w78:2006 (browse)
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Chen Y-W,Hsieh S-H

A BIM assisted rule based approach for checking of green building design

Abstract: Since the publication of green building standards from the last decade, the designer of green buildings have often encountered the challenges of limited time but considerable complexity in the process of evaluating their design according to the rules specified in the standards. Also, the design process is usually an iterative one, which includes rule-checking tasks that are tedious and repetitive. With the advancement of technologies in Building Information Modeling (BIM), artificial intelligence, and Virtual Reality (VR), this research investigates and develops a BIM-assisted Rule-based approach for automating checking of green building design. The developed approach utilizes as much information available in a building’s BIM model as possible to automate the design evaluation complied with green building standards. It also provides visual feedbacks through the BIM model to assist the designer in green building design. To evaluate and demonstrate this approach, an Application Programming Interface (API) tool has been developed in this research to extend the capability of BIM software for both automatic rule-checking of green building design and real-time visualization of feedbacks from the rule-checking. A rule base is used to manage the design rules specified in green building standards and facilitate the automation of rule checking. In addition, visualization of the rule-checking results (e.g. highlights of places in the design that do not satisfy the design requirements) is supported in a 3D VR environment of a building’s BIM model.

Keywords: Building Information Modeling,BIM,Rule Checking,Green Building Standards,Rule-based System,Application Programming Interface,Visualization

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Series: convr:2013 (browse)
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Chuen-Chyi Hsieh, Te-Che Chen, Ting-Wu Ho and Chien-Cheng Chou

Taiwan High-Speed Trains Emergency Dispatching Using Ontology-Based, Multi-Agent Model

Abstract: High-speed rail (HSR) systems have played a more and more important role for todayÕs traveling public. To guarantee punctual, reliable and safe services, modern HSR systems are equipped with sophisticated computerized subsystems for daily operations. However, when a natural or man-made disaster occurs, currently extensive human interventions are needed and, consequently, extended delays and possible injuries may occur if HSR emergency dispatching plans utilized do not accommodate all the conflicts raised. Previous literature shows that multi-agent system (MAS) technology can be utilized to provide decision-making assistance in a distributed and dynamic environment and is often combined with ontology and semantic rules to enhance the reasoning capability. Hence, this research aimed at developing an ontology-driven MAS model for HSR emergency dispatching, and intelligent agents were constructed using JADE (Java Agent DEvelopment framework) and ProtŽgŽ with SWRL (Semantic Web Rule Language). The proposed model was validated with three real HSR emergency dispatching cases, plus 50 hypothetical cases. Experts from Taiwan HSR company were asked to assess the model performance. The assessment results showed that the HSR emergency dispatching plans generated were similar to those designed by experienced dispatchers, and the time required to develop a plan using the proposed model was significantly less than the time needed in the manual approach. The model is expected to help young dispatchers handle emergency dispatching cases under stress, as well as to strengthen the safety aspect of HSR services. Delays or casualties associated with a train disaster could be reduced if the proposed model is adequately utilized.

Keywords: Multi-Agent System, Ontology, High-Speed Rail, Disaster Response Phase, Emergency Dispatching

DOI: https://doi.org/10.24928/JC3-2017/0256

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Ciftcioglu O, Durmisevic S, Sariyildiz S

Soft computing in construction information technology

Abstract: Purpose: With this paper a data driven model of knowledge representation for use in construction information technology (CIT) is introduced as a novel implementation and it is effectively implemented by artificial intelligence methods. Although for CIT knowledge base systems as a general framework is available where the user can place the information. Such systems are eventually mere data warehouses or in a more sophisticated form they are decision support systems in the form of rule based expert systems. However, in the case of a framework structure to organise the knowledge base is difficult and cumbersome task to establish an effective product. In the case expert systems, the inference is deductive and therefore the effectiveness of the system is limited to the prescribed rules. Therefore in place of high level data base management software like Prolog ©, the integration of new computational information processing methods and technologies into CIT would be much informative and therefore they are much effective and finally desirable. From the viewpoint of computation, CIT the data are rather soft requiring special methods and techniques to deal with. In this respect, computational intelligence is one of the emerging technologies, which provides CIT with ample possibilities and techniques for the enhancement of CIT products. Computational intelligence is a part of artificial intelligence (AI) and can be defined as a branch of soft computing methodologies including Expert Systems, Fuzzy Logic, Artificial Neural Networks and Evolutionary Computation. Methodology: For the CIT data soft computing methods are invoked. Soft Computing is an emerging approach to computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty and imprecision. In plain terms, it is the processing of uncertain information with the methods, methodologies, and paradigms of artificial NN, fuzzy logic and evolutionary algorithms. The equivalence of neural networks and fuzzy logic applications is well established. However, the effectiveness of either method is still dependent on the application itself. Each method has its strong merits. However, in general, best performance is obtained when both methods are used in hybrid form. Especially neural system can cope with complex systems while it is relatively difficult for fuzzy systems. On the contrary, it is easier to deal with linguistic variables by fuzzy systems. Such a hybrid model is implemented in the knowledge model accomplished. Results: A novel concept of soft computing in CIT is introduced using actual building design data for design evaluation. The knowledge base contains all the local and global information and their inherent relationships among themselves. The knowledge representation is performed by means of a series of fuzzy systems having their both fuzzy input space and output space. The associations between the spaces are established by learning techniques of AI using the data at hand. Such an 'intelligent' knowledge base can make inference resulting in 'intelligent' due outcomes, which are not explicitly coded, in advance. In other words this is an inductive and computational inference for decision-making compared to conventional knowledge base systems where inference is deductive prescribed by rules. Conclusions: The soft computing in CIT is an important step for processing the relevant effectively and efficiently. In this respect, the paper describes ongoing advanced research and its verifications by actual data at hand.

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Full text: content.pdf (204,669 bytes) (available to registered users only)

Series: w78:2001 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.analysis (0.064489) class.synthesis (0.025964) class.deployment (0.019220)
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Permission to reproduce these documents have been graciously provided by CSIR Building and Construction Technology. The assistance of the editors, Mr. Gustav Coetzee and Mr. Frances Boshoff, is gratefully appreciated.


D Yang, C M Eastman

Validation of IFC model based on high-level interface: Specifications for rule-checking error reporting

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Series: w78:2015 (browse)
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Delic D

Design of structural elements by use of expert networks

Abstract: Shown are three nets. As the first, shown is an example of evaluating a classic rule based expert system to an expert network by replacing one of its knowledge base searching module with a neural network. The second net is used to describe a behavior model of compound steekoncrete columns. Following the design procedure of the DIN 18800 part two, and using just a selected part of data tables for columns design presented as the input data for neural network , the author succeed to organize the design process by neural network only. The rules in the expert system are used for design flow controlling. The third net is not an expert network. It is a neural network combined with PASCAL codes, but should be embedded into an expert system. The work is dealing with problems of variably Input energy control into structural systems (smart bridges) depending on the monitored generated incoming (traffic) loading.

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Series: ecce:1997 (browse)
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