Accurately identifying the vehicle load on the bridge plays a vital role in structural-stress analysis and safety evaluation. Also, extracting the spatiotemporal information of the vehicle’s is crucial for identifying the vehicle load. This study aimed to propose a vehicle spatiotemporal information-identification method based on machine-vision technology. First, digital video surveillance cameras were installed in the front and on the side of the monitoring section to capture real-time videos of vehicles passing through the monitoring section. The background-difference method was used to detect vehicles based on the frontal video. Subsequently, the transverse position was evaluated according to the distance between the vehicle’s license plate and the lane line. Other vehicle parameters, including the vehicle’s speed, the number of axles and the wheelbase, were identified based on the lateral video and the auxiliary lines with a known distance. Second, a laboratory model experiment and multiple field tests under different scenes were carried out to validate the efficiency and accuracy of the proposed method. The results indicated that the average identification errors of wheelbase for the model experiment and the field tests were all 1.12% and those of the vehicle’s speed were 1.25% and 1.35, respectively. Also, the average deviations of the lateral position were 2.57 mm and 2.69 cm, respectively. The variances of the identified error of the three parameters for the field tests were 0.78%, 1.83 cm and 0.54%, respectively. This verified that the proposed method has high accuracy, reliability and good anti-noise performance. KEYWORDS: Machine vision, Spatiotemporal information, Load identification, Orthotropic deck, Bridge engineering.
{"title":"Machine Vision Based The Spatiotemporal Information Identification of The Vehicle","authors":"Chao Wang","doi":"10.14525/jjce.v17i4.14","DOIUrl":"https://doi.org/10.14525/jjce.v17i4.14","url":null,"abstract":"Accurately identifying the vehicle load on the bridge plays a vital role in structural-stress analysis and safety evaluation. Also, extracting the spatiotemporal information of the vehicle’s is crucial for identifying the vehicle load. This study aimed to propose a vehicle spatiotemporal information-identification method based on machine-vision technology. First, digital video surveillance cameras were installed in the front and on the side of the monitoring section to capture real-time videos of vehicles passing through the monitoring section. The background-difference method was used to detect vehicles based on the frontal video. Subsequently, the transverse position was evaluated according to the distance between the vehicle’s license plate and the lane line. Other vehicle parameters, including the vehicle’s speed, the number of axles and the wheelbase, were identified based on the lateral video and the auxiliary lines with a known distance. Second, a laboratory model experiment and multiple field tests under different scenes were carried out to validate the efficiency and accuracy of the proposed method. The results indicated that the average identification errors of wheelbase for the model experiment and the field tests were all 1.12% and those of the vehicle’s speed were 1.25% and 1.35, respectively. Also, the average deviations of the lateral position were 2.57 mm and 2.69 cm, respectively. The variances of the identified error of the three parameters for the field tests were 0.78%, 1.83 cm and 0.54%, respectively. This verified that the proposed method has high accuracy, reliability and good anti-noise performance. KEYWORDS: Machine vision, Spatiotemporal information, Load identification, Orthotropic deck, Bridge engineering.","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135406761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the significant advancement in deep-learning methods and their feature representation, deep-learning methods are more prevalent in solving change-detection tasks. The prime purpose of change detection is to detect the changes on the surface of the earth. In this work, an end-to-end encoder-decoder architecture is used to detect the changes in the land cover. The proposed method uses residual U-Net to find land-cover image changes. The UNet structure is used as the backbone of the network. The effectiveness of the proposed method has been experimented through LEVIR-CD datasets. The results showed that the proposed method outperforms the state-of-the-art techniques and gives reliable results. These techniques can be used to examine changes in the earth's crest due to natural events, such as landslides, earthquakes, erosion and geo-hazards or human activity, like mining and development. KEYWORDS: Change detection, Remote sensing, Residual UNet, Deep learning, Land cover, Climate.
{"title":"Deep Learning-based Land-cover Change Detection in Remote-sensing Imagery","authors":"A. Diana Andrushia","doi":"10.14525/jjce.v17i4.06","DOIUrl":"https://doi.org/10.14525/jjce.v17i4.06","url":null,"abstract":"With the significant advancement in deep-learning methods and their feature representation, deep-learning methods are more prevalent in solving change-detection tasks. The prime purpose of change detection is to detect the changes on the surface of the earth. In this work, an end-to-end encoder-decoder architecture is used to detect the changes in the land cover. The proposed method uses residual U-Net to find land-cover image changes. The UNet structure is used as the backbone of the network. The effectiveness of the proposed method has been experimented through LEVIR-CD datasets. The results showed that the proposed method outperforms the state-of-the-art techniques and gives reliable results. These techniques can be used to examine changes in the earth's crest due to natural events, such as landslides, earthquakes, erosion and geo-hazards or human activity, like mining and development. KEYWORDS: Change detection, Remote sensing, Residual UNet, Deep learning, Land cover, Climate.","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":"395 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135407246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High-strength jute fibre-reinforced polymer (JFRP) laminates have recently been introduced to strengthen RC beams against shear. In contrast to synthetic-based composites, JFRP laminates would be more ductile, compatible with steel shear rebar and effective in reducing debonding due to their lower modulus of elasticity. The prime objective of this research was providing an optimal solution to strengthen a severely deficient RC beam against shear using an externally bonded JFRP laminate with anchor. Fabrication of the JFRP laminate was carried out with the maximum fibre content of 37.5% to obtain high tensile strength. Five full-scale RC beam specimens were cast. Shear strengthening was done by an externally bonded JFRP laminate with double connector, multiple connector and embedded-bar anchor systems. The dimensions of JFRP laminate were obtained based on proposed guidelines. Based on the experimental test, the average tensile strength of the fabricated JFRP laminate was found to be 162 MPa. Results also showed that the JFRP laminate with multiconnector anchor increased the maximum shear capacity of deficient RC beams by 89% and the beams had failed by the fracture of laminate. Beams strengthened with embedded-bar anchor had shown flexural ductile failure. Both beams failed after yielding of flexural bar. The proposed guidelines could be used for shear strengthening of severely deficient beams to enhance the maximum shear capacity using full strength of JFRP laminate with anchor. KEYWORDS: RC beam, Shear strengthening, JFRP laminate, Anchor, Optimal design
{"title":"Optimal Shear Strengthening of Severely Deficient RC Beam Using JFRP Laminate with Anchor","authors":"Md Ashraful Alam","doi":"10.14525/jjce.v17i4.13","DOIUrl":"https://doi.org/10.14525/jjce.v17i4.13","url":null,"abstract":"High-strength jute fibre-reinforced polymer (JFRP) laminates have recently been introduced to strengthen RC beams against shear. In contrast to synthetic-based composites, JFRP laminates would be more ductile, compatible with steel shear rebar and effective in reducing debonding due to their lower modulus of elasticity. The prime objective of this research was providing an optimal solution to strengthen a severely deficient RC beam against shear using an externally bonded JFRP laminate with anchor. Fabrication of the JFRP laminate was carried out with the maximum fibre content of 37.5% to obtain high tensile strength. Five full-scale RC beam specimens were cast. Shear strengthening was done by an externally bonded JFRP laminate with double connector, multiple connector and embedded-bar anchor systems. The dimensions of JFRP laminate were obtained based on proposed guidelines. Based on the experimental test, the average tensile strength of the fabricated JFRP laminate was found to be 162 MPa. Results also showed that the JFRP laminate with multiconnector anchor increased the maximum shear capacity of deficient RC beams by 89% and the beams had failed by the fracture of laminate. Beams strengthened with embedded-bar anchor had shown flexural ductile failure. Both beams failed after yielding of flexural bar. The proposed guidelines could be used for shear strengthening of severely deficient beams to enhance the maximum shear capacity using full strength of JFRP laminate with anchor. KEYWORDS: RC beam, Shear strengthening, JFRP laminate, Anchor, Optimal design","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135406756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recycled aggregates have been increasingly considered in recent years, owing to the limited supply of natural aggregates coupled with the corresponding carbon footprint. Recycled aggregates are aggregates prepared from construction and demolition waste. Their use aims to reduce energy consumption and contributes to reducing waste harmful to the environment. This study is based on a number of numerical tests using the finite element method of PLAXIS 3D software with the elastic-perfectly plastic behavior model and the Mohr flow criterion for all materials. A unit cell model of soft soil treated with three types of granular columns was loaded to failure: ordinary stone columns (OSCs), sand-fiber mix (SFM) and recycled aggregate porous concrete pile (RAPP). An extensive parametric study was conducted to investigate the effect of column type, friction angle, elasticity modulus, column length and geotextile effective stiffness on the behavior of soft soils. The results of numerical tests indicated that the bearing capacity of the recycled aggregate columns is three times greater than that of columns of natural aggregates. The findings of this research are given in the form of load-settlement graphs, which made it possible to release recommendations to carry out works using this technique. KEYWORDS: Soft soil, Granular column, Numerical analysis, Unit cell, Bearing capacity, PLAXIS 3D software
{"title":"Numerical Analysis of a 3D Unit Cell Model for Soft Soil Reinforced with Different Granular Columns","authors":"Yousfi Amin","doi":"10.14525/jjce.v17i4.05","DOIUrl":"https://doi.org/10.14525/jjce.v17i4.05","url":null,"abstract":"Recycled aggregates have been increasingly considered in recent years, owing to the limited supply of natural aggregates coupled with the corresponding carbon footprint. Recycled aggregates are aggregates prepared from construction and demolition waste. Their use aims to reduce energy consumption and contributes to reducing waste harmful to the environment. This study is based on a number of numerical tests using the finite element method of PLAXIS 3D software with the elastic-perfectly plastic behavior model and the Mohr flow criterion for all materials. A unit cell model of soft soil treated with three types of granular columns was loaded to failure: ordinary stone columns (OSCs), sand-fiber mix (SFM) and recycled aggregate porous concrete pile (RAPP). An extensive parametric study was conducted to investigate the effect of column type, friction angle, elasticity modulus, column length and geotextile effective stiffness on the behavior of soft soils. The results of numerical tests indicated that the bearing capacity of the recycled aggregate columns is three times greater than that of columns of natural aggregates. The findings of this research are given in the form of load-settlement graphs, which made it possible to release recommendations to carry out works using this technique. KEYWORDS: Soft soil, Granular column, Numerical analysis, Unit cell, Bearing capacity, PLAXIS 3D software","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135407253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Advancing tunnel boring machine (TBM) during tunnel construction induces a surface settlement, affecting adjacent buildings and facilities. A three-dimensional finite-element model (Plaxis 3D) was used to simulate and analyze this process. A comparison between the numerical model and field measurements of the Greater Cairo Metro (Line 3) was made to validate the obtained results. A sensitivity analysis was conducted to determine how changes in some parameters, such as constitutive models, pile position relative to the tunnel axis and pile spacing, affect the results of the finite-element model. Three constitutive models: hardening soil small (HSS), hardening soil (HS) and the Mohr-Coulomb (MC) models, were used to evaluate the effect of the constitutive models on the results. From the numerical analysis, it is clear that the numerical results are in good agreement with field measurements. The results of the HSS model are more realistic and closer to field measurements than those of the HS and MC models. Furthermore, the effect of the tunnel construction on the settlement of adjacent piles is virtually null at a distance of 2 D (where D is the tunnel diameter). Finally, increasing the pile spacing decreases the effect of tunnel excavation on adjacent pile foundations. KEYWORDS: Tunneling, Numerical models, Constitutive models, Pile foundation, Pile spacing
{"title":"Three-dimensional Finite-element Analysis of the Influence of Tunneling on Pile Foundations","authors":"Moamen Abd El Raouf","doi":"10.14525/jjce.v17i4.04","DOIUrl":"https://doi.org/10.14525/jjce.v17i4.04","url":null,"abstract":"Advancing tunnel boring machine (TBM) during tunnel construction induces a surface settlement, affecting adjacent buildings and facilities. A three-dimensional finite-element model (Plaxis 3D) was used to simulate and analyze this process. A comparison between the numerical model and field measurements of the Greater Cairo Metro (Line 3) was made to validate the obtained results. A sensitivity analysis was conducted to determine how changes in some parameters, such as constitutive models, pile position relative to the tunnel axis and pile spacing, affect the results of the finite-element model. Three constitutive models: hardening soil small (HSS), hardening soil (HS) and the Mohr-Coulomb (MC) models, were used to evaluate the effect of the constitutive models on the results. From the numerical analysis, it is clear that the numerical results are in good agreement with field measurements. The results of the HSS model are more realistic and closer to field measurements than those of the HS and MC models. Furthermore, the effect of the tunnel construction on the settlement of adjacent piles is virtually null at a distance of 2 D (where D is the tunnel diameter). Finally, increasing the pile spacing decreases the effect of tunnel excavation on adjacent pile foundations. KEYWORDS: Tunneling, Numerical models, Constitutive models, Pile foundation, Pile spacing","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135406992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The use of lime in sulfate-bearing clayey soils has historically caused structural damage to infrastructures due to the formation of an expansive ettringite mineral. In this paper, a research was conducted to study the effectiveness of natural pozzolana (NP) for providing better stabilization of sulfate-bearing soils. Compaction and free-swell potential tests were first performed on lime-stabilized grey and red clayey soils (GS and RS) containing different contents of added sodium and calcium sulfates (2, 4 and 6% Na2SO4 or CaSO4·2H2O). Then, the same tests were repeated by adding 20%NP. The test results indicated that the presence of 4% and 6% Na2SO4 in the soil resulted in an abnormal increase in the swell potential of both lime-stabilized GS and RS. The X-ray diffraction (XRD) results confirmed the growth of the ettringite mineral responsible for this higher swell potential. However, the use of 8% lime with 20%NP in stabilizing sulfate-bearing clayey soils produced significant improvements in the optimum moisture content (OMC) and maximum dry density (MDD), as well as in the swell potential. The addition of 20%NP into the lime-stabilized GS and RS eliminated the harmful effect of Na2SO4. In addition, for 120-day curing period, the use of 6% CaSO4·2H2O was found very effective by reducing the swell potential of NP-lime-stabilized GS and RS from 7.33% to 0.4% and from 2.79% to 0.2%, respectively trips. KEYWORDS: Clayey soils, Mineral additives, Sulfates, Compaction, Swell potential, Stabilization.
{"title":"Behavior of Natural Pozzolana-Lime-stabilized Clayey Soils Artificially Contaminated by Sulfates","authors":"Hamid Gadouri","doi":"10.14525/jjce.v17i4.07","DOIUrl":"https://doi.org/10.14525/jjce.v17i4.07","url":null,"abstract":"The use of lime in sulfate-bearing clayey soils has historically caused structural damage to infrastructures due to the formation of an expansive ettringite mineral. In this paper, a research was conducted to study the effectiveness of natural pozzolana (NP) for providing better stabilization of sulfate-bearing soils. Compaction and free-swell potential tests were first performed on lime-stabilized grey and red clayey soils (GS and RS) containing different contents of added sodium and calcium sulfates (2, 4 and 6% Na2SO4 or CaSO4·2H2O). Then, the same tests were repeated by adding 20%NP. The test results indicated that the presence of 4% and 6% Na2SO4 in the soil resulted in an abnormal increase in the swell potential of both lime-stabilized GS and RS. The X-ray diffraction (XRD) results confirmed the growth of the ettringite mineral responsible for this higher swell potential. However, the use of 8% lime with 20%NP in stabilizing sulfate-bearing clayey soils produced significant improvements in the optimum moisture content (OMC) and maximum dry density (MDD), as well as in the swell potential. The addition of 20%NP into the lime-stabilized GS and RS eliminated the harmful effect of Na2SO4. In addition, for 120-day curing period, the use of 6% CaSO4·2H2O was found very effective by reducing the swell potential of NP-lime-stabilized GS and RS from 7.33% to 0.4% and from 2.79% to 0.2%, respectively trips. KEYWORDS: Clayey soils, Mineral additives, Sulfates, Compaction, Swell potential, Stabilization.","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135407378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Temperature has a significant impact on the structural performance of the China Railway Track System (CRTS) Ⅱ slab ballastless track-bridge and the structure is susceptible to fatigue damage under long-term loading. Therefore, it is crucial to conduct cyclic-loading test on the track-bridge structure to reveal the evolution of its mechanical properties under coupled temperature-load effect. In this study, a 1:4 scaled-down model of a ballastless track-bridge was produced and placed in a large-size environmental chamber for temperature-load coupled cyclic-loading tests. The results showed that after 1×10^6 cycles of loading, no cracks were observed on the surface of the track structure. The structural workability and load capacity of the track-bridge met the required service standards. During the temperature-load coupling test, the load-displacement curves of the structural system exhibited intervals, with a more significant increase in static-deflection values. The dynamic deflection of the structural system under the coupling action experienced a higher growth rate and more abrupt changes compared to single-load conditions. These observations indicated that the ambient temperature amplified the deflection of the structural system. The strain values in the track structure exhibited significant non-linearity, with temperature amplifying this effect. The dynamic-response test results revealed a negative correlation between the inherent frequency of the track structure and the ambient temperature, further emphasizing the influence of temperature on the stability of the track structure. Consequently, it is essential to enhance the monitoring of track structures in high-temperature climates to ensure their safe operation.
{"title":"Mechanical Properties of Slab Ballastless Track Subjected to Combined Effects of Loading and Temperature","authors":"Guowen Yao","doi":"10.14525/jjce.v17i4.01","DOIUrl":"https://doi.org/10.14525/jjce.v17i4.01","url":null,"abstract":"Temperature has a significant impact on the structural performance of the China Railway Track System (CRTS) Ⅱ slab ballastless track-bridge and the structure is susceptible to fatigue damage under long-term loading. Therefore, it is crucial to conduct cyclic-loading test on the track-bridge structure to reveal the evolution of its mechanical properties under coupled temperature-load effect. In this study, a 1:4 scaled-down model of a ballastless track-bridge was produced and placed in a large-size environmental chamber for temperature-load coupled cyclic-loading tests. The results showed that after 1×10^6 cycles of loading, no cracks were observed on the surface of the track structure. The structural workability and load capacity of the track-bridge met the required service standards. During the temperature-load coupling test, the load-displacement curves of the structural system exhibited intervals, with a more significant increase in static-deflection values. The dynamic deflection of the structural system under the coupling action experienced a higher growth rate and more abrupt changes compared to single-load conditions. These observations indicated that the ambient temperature amplified the deflection of the structural system. The strain values in the track structure exhibited significant non-linearity, with temperature amplifying this effect. The dynamic-response test results revealed a negative correlation between the inherent frequency of the track structure and the ambient temperature, further emphasizing the influence of temperature on the stability of the track structure. Consequently, it is essential to enhance the monitoring of track structures in high-temperature climates to ensure their safe operation.","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135372527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Based on the deflection behavior of structural components occurring at the lateral deformation of moment frames, a new lateral force-resisting system, the R-BRACE Frame (RBF) system, was proposed. This system is capable of effectively limiting the inter-story drift response of tall buildings. An evaluation was conducted using the finite element method program SAP2000 to simulate the internal force distribution and deformation of the system. The equivalent lateral force procedure (ELFP), the capacity spectrum method (CSM), a linear time-history analysis and the pushover method were applied to assess the yielding mechanism of the structure under different earthquake intensity levels. The findings revealed that the sub-unit, referred to as an R-BRACE, had a major impact on improving a structure's lateral stiffness. The placement of R-BRACE units could guarantee controllable stiffness degradation and enhanced seismic ductility, but would not alter the vertical load transfer path of the initial structure, which makes the RBF system an ideal option for seismic retrofitting. KEYWORDS: Lateral force-resisting system, R-BRACE frame, Enhanced lateral stiffness resistance, Seismic ductility
{"title":"Seismic Behavior of an Inter-story Hinged Lateral Resistance Braced Frame","authors":"Yu Ren","doi":"10.14525/jjce.v17i4.10","DOIUrl":"https://doi.org/10.14525/jjce.v17i4.10","url":null,"abstract":"Based on the deflection behavior of structural components occurring at the lateral deformation of moment frames, a new lateral force-resisting system, the R-BRACE Frame (RBF) system, was proposed. This system is capable of effectively limiting the inter-story drift response of tall buildings. An evaluation was conducted using the finite element method program SAP2000 to simulate the internal force distribution and deformation of the system. The equivalent lateral force procedure (ELFP), the capacity spectrum method (CSM), a linear time-history analysis and the pushover method were applied to assess the yielding mechanism of the structure under different earthquake intensity levels. The findings revealed that the sub-unit, referred to as an R-BRACE, had a major impact on improving a structure's lateral stiffness. The placement of R-BRACE units could guarantee controllable stiffness degradation and enhanced seismic ductility, but would not alter the vertical load transfer path of the initial structure, which makes the RBF system an ideal option for seismic retrofitting. KEYWORDS: Lateral force-resisting system, R-BRACE frame, Enhanced lateral stiffness resistance, Seismic ductility","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135406460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Traffic-signal recognition and anticipation are essential for advanced driver-assistance systems. Due to its superior performance in data categorization, deep learning has gained significance in vision-based object identification in recent years. When examining the application of deep learning to develop a high-performance urban traffic-signal detection system, the input image's colour space, as well as the deep-learning network model are examined as part of the system's primary components. Using distinct network models based on the Faster R-CNN algorithm and colour spaces in simulations helps the RGB (red, green and blue) colour space and the Faster R-CNN model detects the method of network target. A series of fundamental convolutional networks is used depending on pooling layers to extract the features of maps of images for training datasets, where the data may be used to develop a system for traffic-signal detection and create a new traffic signal that requires image recognition. KEYWORDS: Bounding boxes, Faster R-CNN, Modelled environments, Simulation, Traffic-signal detecting system.
{"title":"Reinforcement Learning in Urban Network Traffic-signal Control","authors":"Eslam Al-Kharabsheh","doi":"10.14525/jjce.v17i4.12","DOIUrl":"https://doi.org/10.14525/jjce.v17i4.12","url":null,"abstract":"Traffic-signal recognition and anticipation are essential for advanced driver-assistance systems. Due to its superior performance in data categorization, deep learning has gained significance in vision-based object identification in recent years. When examining the application of deep learning to develop a high-performance urban traffic-signal detection system, the input image's colour space, as well as the deep-learning network model are examined as part of the system's primary components. Using distinct network models based on the Faster R-CNN algorithm and colour spaces in simulations helps the RGB (red, green and blue) colour space and the Faster R-CNN model detects the method of network target. A series of fundamental convolutional networks is used depending on pooling layers to extract the features of maps of images for training datasets, where the data may be used to develop a system for traffic-signal detection and create a new traffic signal that requires image recognition. KEYWORDS: Bounding boxes, Faster R-CNN, Modelled environments, Simulation, Traffic-signal detecting system.","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135406616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The damage caused by the frost heaving pressure on the surrounding rocks and lining structure of cold-region tunnels is always common, which can seriously threaten the safety and stability for cold-region tunnels. Although many achievements of frost heave pressure model have been obtained, two factors have been often ignored, which are in-situ stress and freeze-thaw cycles. Therefore, the calculation mechanical model of coldregion tunnels is established and the expression of frost heaving pressure considering frost heaving effect and in-situ stress is derived based on the elastic theory. The relationship between the elastic modulus of surrounding rocks and the number of freeze-thaw cycles was fitted by experimental data and the calculation formula of frost heaving rate of rocks considering their porosity change caused by freeze-thaw cycles is derived. Based on that, the calculation method of frost heaving pressure considering in-situ stress and freeze-thaw cycles is proposed. The example analysis results show that frost heaving ratio and frost heaving pressure gradually increase with freeze-thaw cycles, which are eventually subjected to a steady value. Simultaneously, the frost heaving pressure acting on lining increases with in-situ stress for tunnels in cold regions and some effective insulation measures should be applied to prevent frost damage. KEYWORDS: Frost heaving pressure, Cold-region tunnels, Freeze-thaw cycles, Analytical solution, Zero-frost heave displacemen
{"title":"An Analytical Solution of Frost Heaving Pressure for Cold-region Tunnel Considering Freeze-thaw Cycles and in-situ Stress","authors":"Wang-Tao Jiang","doi":"10.14525/jjce.v17i4.09","DOIUrl":"https://doi.org/10.14525/jjce.v17i4.09","url":null,"abstract":"The damage caused by the frost heaving pressure on the surrounding rocks and lining structure of cold-region tunnels is always common, which can seriously threaten the safety and stability for cold-region tunnels. Although many achievements of frost heave pressure model have been obtained, two factors have been often ignored, which are in-situ stress and freeze-thaw cycles. Therefore, the calculation mechanical model of coldregion tunnels is established and the expression of frost heaving pressure considering frost heaving effect and in-situ stress is derived based on the elastic theory. The relationship between the elastic modulus of surrounding rocks and the number of freeze-thaw cycles was fitted by experimental data and the calculation formula of frost heaving rate of rocks considering their porosity change caused by freeze-thaw cycles is derived. Based on that, the calculation method of frost heaving pressure considering in-situ stress and freeze-thaw cycles is proposed. The example analysis results show that frost heaving ratio and frost heaving pressure gradually increase with freeze-thaw cycles, which are eventually subjected to a steady value. Simultaneously, the frost heaving pressure acting on lining increases with in-situ stress for tunnels in cold regions and some effective insulation measures should be applied to prevent frost damage. KEYWORDS: Frost heaving pressure, Cold-region tunnels, Freeze-thaw cycles, Analytical solution, Zero-frost heave displacemen","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135406770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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