Endre søk
Begrens søket
1 - 7 of 7
RefereraExporteraLink til resultatlisten
Permanent link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Treff pr side
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sortering
  • Standard (Relevans)
  • Forfatter A-Ø
  • Forfatter Ø-A
  • Tittel A-Ø
  • Tittel Ø-A
  • Type publikasjon A-Ø
  • Type publikasjon Ø-A
  • Eldste først
  • Nyeste først
  • Skapad (Eldste først)
  • Skapad (Nyeste først)
  • Senast uppdaterad (Eldste først)
  • Senast uppdaterad (Nyeste først)
  • Disputationsdatum (tidligste først)
  • Disputationsdatum (siste først)
  • Standard (Relevans)
  • Forfatter A-Ø
  • Forfatter Ø-A
  • Tittel A-Ø
  • Tittel Ø-A
  • Type publikasjon A-Ø
  • Type publikasjon Ø-A
  • Eldste først
  • Nyeste først
  • Skapad (Eldste først)
  • Skapad (Nyeste først)
  • Senast uppdaterad (Eldste først)
  • Senast uppdaterad (Nyeste først)
  • Disputationsdatum (tidligste først)
  • Disputationsdatum (siste først)
Merk
Maxantalet träffar du kan exportera från sökgränssnittet är 250. Vid större uttag använd dig av utsökningar.
  • 1.
    Abkar, Mahdi Mohammed Abdullah
    et al.
    Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia (UTHM), Johor, Parit Raja, Malaysia.
    Yunus, Riduan
    Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia (UTHM), Johor, Parit Raja, Malaysia.
    Al-Shameri, Ahmed Saleh Ahmed Saif
    Faculty of Technology Management & Business, Universiti Tun Hussein Onn Malaysia (UTHM), Johor, Parit Raja, Malaysia.
    Harouache, Ahmed
    Faculty of Technology Management & Business, Universiti Tun Hussein Onn Malaysia (UTHM), Johor, Parit Raja, Malaysia.
    Gamil, Yaser
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand. Department of Civil Engineering, School of Engineering, Monash University Malaysia, Selangor, Malaysia.
    An empirical investigation of automation technology as material waste mitigation measure at Johor construction sites2023Inngår i: Frontiers in Built Environment, E-ISSN 2297-3362, Vol. 9, artikkel-id 1232195Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Automation technology in the construction industry is the use of advanced tools, devices, and processes that reduce manual labor and enhance efficiency in various construction activities. Automation technology can minimize waste, optimize resource utilization, and reduce the environmental impact of construction processes. This study aims to examine the relationship between automation technology adoptions (ATAs) utilizing reduce, reuse, and recycle (3R), building information modeling (BIM), industrialized building systems (IBSs), green building index (GBI), and Internet of Things (IoT) practices toward construction site performance (CSP) to measure their influences on material waste mitigation measures at Johor construction sites. To achieve these goals, five hypotheses were developed to explore the association between ATA and CSP. Data were gathered utilizing an online survey. The participants were contractors and expert practitioners in the Johor construction industry, including architects, project managers, and academicians/researchers. A total of 257 valid responses were used to investigate the assumptions. The partial least squares structural equation modeling (PLS-SEM) procedure was used. The findings revealed that ATA utilizing 3R, BIM, IBS, GBI, and IoT as material mitigation measures positively enhances CSP.

    Fulltekst (pdf)
    fulltext
  • 2.
    Al-Shami, Qahtan
    et al.
    School of Soil and Water Conservation, Beijing Forestry University, Beijing, China; Department of Civil Engineering, Tianjin University, Tianjin, China; Department of Civil Engineering, Faculty of Engineering and IT, Amran University, Amran, Yemen.
    Huang, Jiankun
    School of Soil and Water Conservation, Beijing Forestry University, Beijing, China.
    Amran, Mugahed
    Department of Civil Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia; Department of Civil Engineering, Faculty of Engineering and IT, Amran University, Amran, Yemen.
    Mugahed, Saleh
    Department of Civil Engineering, Faculty of Engineering and IT, Amran University, Amran, Yemen.
    Alluqmani, Ayed Eid
    Department of Civil Engineering, Islamic University of Madinah, Madinah, Saudi Arabia.
    Al-Haaj, Mohammed
    Department of Civil Engineering, Tianjin University, Tianjin, China.
    Gamil, Yaser
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand. Department of Civil Engineering, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Selangor, Malaysia.
    Abdelgader, Hakim S.
    Department of Civil Engineering, Faculty of Engineering, University of Tripoli, Tripoli, Libya; Faculty of Civil Engineering and Architecture, Lublin University of Technology, Lublin, Poland.
    Efficient numerical simulations on the forest barrier for seismic wave attenuation: engineering safe constructions2024Inngår i: Frontiers in Built Environment, E-ISSN 2297-3362, Vol. 10, artikkel-id 1301049Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    This paper aims to elucidate the clear visibility of attenuating seismic waves (SWs) with forest trees as natural metamaterials known as forest metamaterials (FMs) arranged in a periodic pattern around the protected area. In analyzing the changeability of the FM models, five distinct cases of “metawall” configurations were considered. Numerical simulations were conducted to study the characteristics of bandgaps (BGs) and vibration modes for each model. The finite element method (FEM) was used to illustrate the generation of BGs in low frequency ranges. The commercial finite element code COMSOL Multiphysics 5.4a was adopted to carry out the numerical analysis, utilizing the sound cone method and the strain energy method. Wide BGs were generated for the Bragg scattering BGs and local resonance BGs owing to the gradual variations in tree height and the addition of a vertical load in the form of mass to simulate the tree foliage. The results were promising and confirmed the applicability of FEM based on the parametric design language ANSYS 17.2 software to apply the boundary conditions of the proposed models at frequencies below 100 Hz. The effects of the mechanical properties of the six layers of soil and the geometric parameters of FMs were studied intensively. Unit cell layouts and an engineered configuration for arranging FMs based on periodic theory to achieve significant results in controlling ground vibrations, which are valuable for protecting a large number of structures or an entire city, are recommended. Prior to construction, protecting a region and exerting control over FM characteristics are advantageous. The results exhibited the effect of the ‘trees’ upper portion (e.g., leaves, crown, and lateral bulky branches) and the gradual change in tree height on the width and position of BGs, which refers to the attenuation mechanism. Low frequency ranges of less than 100 Hz were particularly well suited for attenuating SWs with FMs. However, an engineering method for a safe city construction should be proposed on the basis of the arrangement of urban trees to allow for the shielding of SWs in specific frequency ranges.

    Fulltekst (pdf)
    fulltext
  • 3.
    Gamil, Yaser
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand.
    Machine learning in concrete technology: A review of current researches, trends, and applications2023Inngår i: Frontiers in Built Environment, E-ISSN 2297-3362, Frontiers in Built Environment, E-ISSN 2297-3362, Vol. 9, artikkel-id 1145591Artikkel, forskningsoversikt (Fagfellevurdert)
    Abstract [en]

    Machine learning techniques have been used in different fields of concrete technology to characterize the materials based on image processing techniques, develop the concrete mix design based on historical data, and predict the behavior of fresh concrete, hardening, and hardened concrete properties based on laboratory data. The methods have been extended further to evaluate the durability and predict or detect the cracks in the service life of concrete, It has even been applied to predict erosion and chemical attaches. This article offers a review of current applications and trends of machine learning techniques and applications in concrete technology. The findings showed that machine learning techniques can predict the output based on historical data and are deemed to be acceptable to evaluate, model, and predict the concrete properties from its fresh state, to its hardening and hardened state to service life. The findings suggested more applications of machine learning can be extended by utilizing the historical data acquitted from scientific laboratory experiments and the data acquitted from the industry to provide a comprehensive platform to predict and evaluate concrete properties. It was found modeling with machine learning saves time and cost in obtaining concrete properties while offering acceptable accuracy.

    Fulltekst (pdf)
    fulltext
  • 4.
    Gamil, Yaser
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand.
    Cwirzen, Andrzej
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand.
    Digital Transformation of Concrete Technology—A Review2022Inngår i: Frontiers in Built Environment, E-ISSN 2297-3362, Vol. 8, artikkel-id 835236Artikkel, forskningsoversikt (Fagfellevurdert)
    Abstract [en]

    Digital transformation of concrete technology is one of the current“hot topics”tackled byboth academia and industry. Thefinal goal is to fully integrate the already existing advancedconcrete technologies with novel sensors, virtual reality, or Internet of things to create self-learning and highly automated platforms controlling design, production, and long-termusage and maintenance of concrete and concrete structures. The digital transformationshould ultimately enhance sustainability, elongate service life, and increase technologicaland cost efficiencies. This review article focuses on up-to-date developments. It explorescurrent pathways and directions seen in research and industrial practices. It indicatesbenefits, challenges, and possible opportunities related to the digital transformation ofconcrete technology.

    Fulltekst (pdf)
    fulltext
  • 5.
    Harouache, Ahmed
    et al.
    Faculty of Technology Management and Business, Department of Construction Management University Tun Hussein Onn Malaysia (UTHM) Parit Raja, Batu Pahat, Malaysia.
    Abkar, Mahdi Mohammed Abdullah
    Faculty of Civil Engineering and Built Environment, University Tun Hussein Onn Malaysia (UTHM) Parit Raja, Batu Pahat, Malaysia.
    Gamil, Yaser
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand. Department of Civil Engineering, School of Engineering, Monash University Malaysia, Selangor, Malaysia.
    Al-Shameri, Ahmed Saleh Ahmed
    Faculty of Technology Management and Business, Department of Technology Management Universiti Tun Hussein Onn Malaysia (UTHM) Parit Raja, Batu Pahat, Malaysia.
    Gabir, Adham Ahmed Mohammed
    Faculty of Engineering, Department of Civil Engineering, Universiti Putra Malaysia, Serdang, Malaysia.
    Influence of supply chain management on the sustainable construction industry in Algeria2024Inngår i: Frontiers in Built Environment, E-ISSN 2297-3362, Vol. 10, artikkel-id 1233266Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The construction industry, a pivotal business sector facilitating physical infrastructure and equipment provision, holds a significant indirect influence on diverse industries. This study investigates the role of supply chain management in enhancing sustainable construction practices within the Algerian construction industry. The research delves into the relationship between traditional supply chain management and sustainable construction, employing a quantitative approach. Data collection involved a survey comprising 61 items, utilizing a five-point Likert scale, gathered through an online survey method targeting managers, supervisors, executives, and suppliers in the Algerian construction industry. With 237 participants from construction companies in Algeria, the study utilized Smart PLS for data analysis, confirming a positive relationship between traditional supply chain management and sustainable construction through partial least squares (PLS) path analysis. The findings provide valuable insights for future stakeholders, guiding employers, designers, manufacturers, contractors, and suppliers to enhance supply chain management practices for sustainable construction in Algeria. Consequently, this study offers significant results with practical and theoretical implications, contributing to the integration of sustainable supply chain management in Algerian construction. In summary, the research addresses the relationship challenges between traditional supply chain management and sustainable construction practices in Algeria.

    Fulltekst (pdf)
    fulltext
  • 6.
    Saback, Vanessa
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand.
    Gonzalez-Libreros, Jaime
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand.
    Daescu, Cosmin
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand. Department of Civil Engineering and Installations (CCI), Politehnica University of Timisoara, Timisoara, Romania.
    Popescu, Cosmin
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand. SINTEF Narvik AS, Narvik, Norway.
    Garmabaki, Amir Soleimani
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Sas, Gabriel
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand.
    Adapting to climate change: snow load assessment of snow galleries on the Iron Ore Line in Northern Sweden2024Inngår i: Frontiers in Built Environment, E-ISSN 2297-3362, Vol. 9Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The snow galleries along the Iron Ore railway line in northern Sweden have facedproblems in recent years due to increasingly large snow loads, and several gallerieshave been damaged. These incidents motivated an evaluation of the maximumload supported by the galleries before collapse, which is presented in this study. In2021, a monitoring system was installed in one of the main frames of two snowgalleries built in the 1950s to follow up with temperature and displacements,including a trigger that sends out a warning message when a critical load isreached. A literature review on snow loads was performed, followed bycalculations on snow distribution on the galleries based on the Eurocodes andNational Swedish Standards. Finite element 2D and 3D models were created usingAxisVM to accurately assess the efforts in the structural elements. Analysis anddiscussion are complemented by observations from site visits. It was concludedthat the critical loads supported by the galleries are lower than the requirements oftoday’s standards, but since secondary construction elements were damagedbefore the main frames reached their full capacity, no major collapse has yet takenplace. The cobweb effect (load re-distribution between the neighboring elementsin a 3D structure) influenced the behavior of the galleries in the 3D analysis and thecapacity of the main frames proved to be significantly increased compared to the2D assessment.

    Fulltekst (pdf)
    fulltext
  • 7.
    Sredniawa, Weronika
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Skawina, Bartlomiej
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi. Luossavaara-Kiirunavaara Aktiebolag (LKAB), Kiruna, Sweden.
    Garcia, Jorge Recio
    Luossavaara-Kiirunavaara Aktiebolag (LKAB), Kiruna, Sweden.
    Rapp, Joel
    Luossavaara-Kiirunavaara Aktiebolag (LKAB), Kiruna, Sweden.
    Analyzing degradation of ore pass walls in Kiirunavaara mine using scanning data2023Inngår i: Frontiers in Built Environment, E-ISSN 2297-3362, Vol. 9, artikkel-id 1250671Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Ore passes play a vital role in underground mining operations by facilitating the gravity-driven movement of ore from production levels to lower levels. Failure of the ore pass has serious consequences, including possible production disruptions and substantial financial investments in reconstruction or rehabilitation. Failure mechanisms are often associated with rock mass quality, stress conditions, and wear of the ore pass walls. This study investigated the degradation of ore pass walls using scanning data at LKAB’s Kiirunavaara mine in Sweden. Geotechnical information obtained from various sources aided in further understanding the ore passes’ conditions. The study revealed variations in the ore pass growth rates, highlighting potential stability concerns and the correlation between throughput and pass growth. The findings underscore the need for continuous monitoring and regular inspection to manage wall degradation. The paper proposes potential rehabilitation measures to ensure the stability and safety of ore passes in mining operations.

    Fulltekst (pdf)
    fulltext
1 - 7 of 7
RefereraExporteraLink til resultatlisten
Permanent link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf