Now showing items 156-175 of 676

    • Condition assessment of sewer pipelines using multi attribute utility theory (MAUT) 

      Kaddoura, Khalid; Zayed, Tarek; Hawari, Alaa H. ( International Society for Trenchless Technology , 2016 , Conference Paper)
      Many municipalities rely on the interpretation of Closed Circuit Television (CCTV) inspection reports to arrive to a condition assessment grade for the inspected sewer pipelines. The grades stand as a key for decision ...
    • Condition prediction models for oil and gas pipelines using regression analysis 

      El-Abbasy, M.; Senouci, A.; Zayed, T.; Mirahadi, F.; Parvizsedghy, L. ( American Society of Civil Engineers (ASCE) , 2014 , Article)
      Although they are the safest means of transporting oil and gas products, pipelines can sometimes fail with hazardous consequences and large business losses. The decision to replace, repair, or rehabilitate depends mainly ...
    • Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media 

      Senceroglu, Sait; Ayari, Mohamed A.; Rezaei, Tahereh; Faress, Fardad; Khandakar, Amith; ... more authors ( MDPI , 2022 , Article)
      This study constructs a machine learning method to simultaneously analyze the thermodynamic behavior of many polymer-drug systems. The solubility temperature of Acetaminophen, Celecoxib, Chloramphenicol, D-Mannitol, ...
    • CONSTRUCTION CHANGE ORDER MANAGEMENT PROJECT SUPPORT SYSTEM UTILIZING DELPHI METHOD 

      Naji, Khalid K.; Gunduz, Murat; Naser, Ayman F. ( Vilnius Gediminas Technical University , 2022 , Article)
      Change orders are a major challenge in the construction industry due to the associated time and cost impacts. Thus, managing change effectively assists in alleviating cost overruns and delays. Avoiding change orders and ...
    • Construction safety 

      Naji, Khalid (2006 , Book chapter)
      N/A
    • Construction safety factors assessment through Frequency Adjusted Importance Index 

      Gunduz, Murat; Ahsan, Bappy ( Elsevier B.V. , 2018 , Article)
      The construction industry is plagued by numerous accidents and fatalities due to improper implementation of safety measures. Globally, researchers have concluded that the construction environment is the most hazardous when ...
    • Construction safety risk assessment with introduced control levels 

      Gunduz M.; Laitinen H. ( Vilnius Gediminas Technical University , 2018 , Article)
      It is of great importance to facilitate the risk assessment process in construction projects because risk assessment is a requirement in most legislation and safety standards. A great majority of construction SMEs (Small ...
    • Control of plate vibrations with artificial neural networks and piezoelectricity 

      Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( Springer New York LLC , 2020 , Conference Paper)
      This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantilever plate ...
    • Convolutional neural networks for real-time and wireless damage detection 

      Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( Springer New York LLC , 2020 , Conference Paper)
      Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requires considerable ...
    • Corrosion-Damaged RC Beams Repaired with Fabric-Reinforced Cementitious Matrix 

      Elghazy M.; El Refai A.; Ebead U.; Nanni A. ( American Society of Civil Engineers (ASCE) , 2018 , Article)
      The structural performance of corrosion-damaged reinforced concrete (RC) beams repaired with fabric-reinforced cementitious matrix (FRCM) was investigated. Eleven RC beams were constructed and tested in flexure under ...
    • Cost based Value Stream Mapping as a sustainable construction tool for undergraound pipeline construction projects 

      Gunduz, Murat; Naser, Ayman Fahmi ( MDPI AG , 2017 , Article)
      This paper deals with application of Value Stream Mapping (VSM) as a sustainable construction tool on a real construction project of installation of underground pipelines. VSM was adapted to reduce the high percentage of ...
    • Cost benefit analysis for failure of sewer pipelines 

      Elmasry, Mohamed; Hawari, Alaa; Zayed, Tarek ( EDP Sciences , 2017 , Conference Paper)
      Sewer pipelines failure in sewage networks can have adverse potential impacts on socio-economic aspects in any community. Due to the fact that it's difficult to capture the relationship between the physical and economical ...
    • Cost effectiveness of reinforcement alternatives for a concrete water chlorination tank 

      Younis, Adel; Ebead, Usama; Suraneni, Prannoy; Nanni, Antonio ( Elsevier , 2020 , Article)
      Reinforced concrete tanks in water/wastewater treatment plants are susceptible to severe corrosion due to aggressive exposure conditions resulting from the application of certain treatment chemicals and methods. Non-corrosive ...
    • Cost optimization of composite beams using genetic algorithms 

      Senouci, Ahmed B.; Al-Ansari, Mohammed S. ( Elsevier Ltd , 2009 , Article)
      This paper presents a genetic algorithm model for the cost optimization of composite beams based on the load and resistance factor design (LRFD) specifications of the AISC. The model formulation includes the cost of concrete, ...
    • Cost-benefit analysis of BIM-enabled design clash detection and resolution 

      Chahrour, Racha; Hafeez, Mian Atif; Ahmad, Ahmad Mohammad; Sulieman, Hashim Ibnauf; Dawood, Huda; ... more authors (2020 , Article)
      Building Information Modelling (BIM) is increasingly deployed as part of the processes in Architecture, Engineering and Construction (AEC) industry projects. While the benefits of BIM have been extensively proclaimed, ...
    • Criteria and Challenges of Inclusive Design in the Built Environment 

      Abdelkarim , Shimaa Basheir; Ahmad, Ahmad Mohammed; Zahrah, Janet; Makhoul, Nancy Nabil; Al-Nuaimi, Maryam Nasser; ... more authors ( Qatar University Press , 2023 , Conference Paper)
      Inclusive design is about designing accessible spaces for individuals with different needs. It beholds the ability to affect people's behaviour in the built environment, especially People With Disability (PWDs). Inclusive ...
    • Critical factors determining bid/no bid decisions of contractors in Qatar 

      Jarkas, A.M.; Mubarak, Saleh; Kadri, C.Y ( American Society of Civil Engineers (ASCE) , 2014 , Article)
      To bid or not to bid for construction projects is a crucial strategic decision for contractors' sustainability in the industry. The high complexity and uncertainty associated with such a decision-making process, which ...
    • Cylindrical graphite based microbial fuel cell for the treatment of industrial wastewaters and bioenergy generation 

      Gunda, Mohanakrishna; Abu-Reesh, Ibrahim M.; Al-Raoush, Riyadh I.; He, Zhen ( Elsevier Ltd , 2018 , Article)
      Cylindrical graphite microbial fuel cell (MFC) configuration designed by eliminating distinct casing and membrane was evaluated for bioelectrogenesis and treatment of real-field wastewaters. Both petroleum refinery wastewater ...
    • Data Interpretation Framework for Pile Thermal Integrity Testing 

      Sun, Qianchen; Elshafie, Mohammed; Barker, Chris; Fisher, Anthony; Bell, Andrew ( Qatar University Press , 2023 , Conference Paper)
      Given the inherent nature of how deep cast in-situ concrete foundations (piles and diaphragm walls) are constructed, evaluating their integrity is difficult. Several well-established methods for testing integrity have been ...
    • Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images 

      Hossain, Md Sakib Abrar; Gul, Sidra; Chowdhury, Muhammad E.H.; Khan, Muhammad Salman; Sumon, Md Shaheenur Islam; ... more authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
      The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological ...