Pub Date : 2018-08-19DOI: 10.15224/978-1-63248-158-0-28
Masaji Watanabe, Noverina Alfiany
This study shows the practical application of numerical techniques for tsunami simulation. Our techniques were tested against a model problem of flow with linear bottom friction over a parabolic bottom topography. A governing system of partial differential equations was spatially discretized over a triangular mesh. Standard ODE solvers were applied to the resultant system of ordinary differential equations for the horizontal fluxes and the wave height. At each time step, each node was tested to determine whether it was “wet” or “dry”, according to criteria on the total depth. An initial displacement was set according to source fault plane generated by other authors. Our techniques were applied to the Mentawai 2010 tsunami simulation and the Indian Ocean 2004 tsunami simulation. Keywords— Numerical techniques, parabolic bottom topography, standard ODE solver, tsunami simulation.
{"title":"Application of Numerical Techniques to Tsunami Simulation","authors":"Masaji Watanabe, Noverina Alfiany","doi":"10.15224/978-1-63248-158-0-28","DOIUrl":"https://doi.org/10.15224/978-1-63248-158-0-28","url":null,"abstract":"This study shows the practical application of numerical techniques for tsunami simulation. Our techniques were tested against a model problem of flow with linear bottom friction over a parabolic bottom topography. A governing system of partial differential equations was spatially discretized over a triangular mesh. Standard ODE solvers were applied to the resultant system of ordinary differential equations for the horizontal fluxes and the wave height. At each time step, each node was tested to determine whether it was “wet” or “dry”, according to criteria on the total depth. An initial displacement was set according to source fault plane generated by other authors. Our techniques were applied to the Mentawai 2010 tsunami simulation and the Indian Ocean 2004 tsunami simulation. Keywords— Numerical techniques, parabolic bottom topography, standard ODE solver, tsunami simulation.","PeriodicalId":184033,"journal":{"name":"Seventh International Conference on Advances in Civil Structural and Environmental Engineering ACSEE 2018","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134367995","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}
Pub Date : 2018-08-19DOI: 10.15224/978-1-63248-158-0-29
F. Kawai, Masaji Watanabe
Results from previous studies were incorporated into a simulation of a microbial depolymerization process. Experimental results were incorporated into analysis, and a mathematical model for a weight distribution and a microbial population was analyzed numerically. Numerical results and experimental results were compared, and the validity of our model and numerical techniques are discussed. Keywords— biodegradation, polymer, mathematical model, numerical simulation
{"title":"Numerical Simulation of Exogenous Type Microbial Depolymerization Process with Weight Distribution and Microbial Population","authors":"F. Kawai, Masaji Watanabe","doi":"10.15224/978-1-63248-158-0-29","DOIUrl":"https://doi.org/10.15224/978-1-63248-158-0-29","url":null,"abstract":"Results from previous studies were incorporated into a simulation of a microbial depolymerization process. Experimental results were incorporated into analysis, and a mathematical model for a weight distribution and a microbial population was analyzed numerically. Numerical results and experimental results were compared, and the validity of our model and numerical techniques are discussed. Keywords— biodegradation, polymer, mathematical model, numerical simulation","PeriodicalId":184033,"journal":{"name":"Seventh International Conference on Advances in Civil Structural and Environmental Engineering ACSEE 2018","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125249105","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}
Pub Date : 2018-08-19DOI: 10.15224/978-1-63248-158-0-31
Pattamaphorn Phungngamphan, R. Anuwattana, Worapong Pattayawan
This work aim to synthesis of a 3A zeolite (K-LTA) obtained by a fusion process of potassium salt, synthesized from the bagasse ash. The bagasse ash and aluminium hydroxide sludge were sources of starting materials for K-A zeolite (3A zeolite) conversion using the alkali fusion hydrothermal process. The bagasse ash and potassium salt were mixed at the weight ratio of 1:1.2 and then fused at 550 °C for 1 hour prior to the hydrothermal treatment. After that, the hydroxide solution was added to the fused material slurry and thoroughly stirred at 105± 3 °C in the stainless steel reactor. The reaction time was varied from 1 to 6 hours. The results showed that the highest yield of 3A zeolite conversion was approximately 62% and was obtained from the mixtures containing hydroxide solution, stirred for 5 hours. Keywords— 3A zeolite, Bagasse Ash, Aluminium Hydroxide Sludge, Fusion Method, Waste Utilization
{"title":"Conversion of 3A Zeolite from Bagasse Ash and Aluminium Hydroxide Sludge","authors":"Pattamaphorn Phungngamphan, R. Anuwattana, Worapong Pattayawan","doi":"10.15224/978-1-63248-158-0-31","DOIUrl":"https://doi.org/10.15224/978-1-63248-158-0-31","url":null,"abstract":"This work aim to synthesis of a 3A zeolite (K-LTA) obtained by a fusion process of potassium salt, synthesized from the bagasse ash. The bagasse ash and aluminium hydroxide sludge were sources of starting materials for K-A zeolite (3A zeolite) conversion using the alkali fusion hydrothermal process. The bagasse ash and potassium salt were mixed at the weight ratio of 1:1.2 and then fused at 550 °C for 1 hour prior to the hydrothermal treatment. After that, the hydroxide solution was added to the fused material slurry and thoroughly stirred at 105± 3 °C in the stainless steel reactor. The reaction time was varied from 1 to 6 hours. The results showed that the highest yield of 3A zeolite conversion was approximately 62% and was obtained from the mixtures containing hydroxide solution, stirred for 5 hours. Keywords— 3A zeolite, Bagasse Ash, Aluminium Hydroxide Sludge, Fusion Method, Waste Utilization","PeriodicalId":184033,"journal":{"name":"Seventh International Conference on Advances in Civil Structural and Environmental Engineering ACSEE 2018","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131032042","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}
Pub Date : 2018-08-19DOI: 10.15224/978-1-63248-158-0-12
Hassan Abba Musa, Inuwa Ibrahim Aminu, Shuaibu Umar
The paradigm shifts in the history of predicting the wind related effects was shifted from early theoretical, numerical, experimental techniques, to Computer techniques in fully understanding the vibrational characteristics of a system like Bridge. Therefore, the structural dynamic analysis includes determination of the natural mode shapes and frequencies of an elastic structure in free unforced vibration. In this research paper, the software like ANSYS and others whose built based on Finite Element Method are adapted and well suited for this type of analysis since the mode shapes can be accurately derived from the geometrically complex of the structures, such as beams, and pylons sections that commonly found in slender structure like bridge. The FE structural model is typically formulated in SOLID-Works software as an Eigensystem, where the eigenvalues and eigenvectors represent the natural frequencies and the mode shapes, respectively. The lowest eigenvalues (1.1006e-008 Hz) correspond to the lowest characteristic frequencies of the physical system of Lekki Bridge and are typically more interesting than the higher modes simply because the physical system tends to experience the lower modes as dominant vibration frequencies. Keywords—Computer Techniques, Vibrational characteristics, Lekki Bridge, ANSYS, SOLIDWorks, Eigen System.
{"title":"Computer Modeling and Wind Simulation of Lekki Cable Stayed Bridge in predicting an Aeroelastic Effects","authors":"Hassan Abba Musa, Inuwa Ibrahim Aminu, Shuaibu Umar","doi":"10.15224/978-1-63248-158-0-12","DOIUrl":"https://doi.org/10.15224/978-1-63248-158-0-12","url":null,"abstract":"The paradigm shifts in the history of predicting the wind related effects was shifted from early theoretical, numerical, experimental techniques, to Computer techniques in fully understanding the vibrational characteristics of a system like Bridge. Therefore, the structural dynamic analysis includes determination of the natural mode shapes and frequencies of an elastic structure in free unforced vibration. In this research paper, the software like ANSYS and others whose built based on Finite Element Method are adapted and well suited for this type of analysis since the mode shapes can be accurately derived from the geometrically complex of the structures, such as beams, and pylons sections that commonly found in slender structure like bridge. The FE structural model is typically formulated in SOLID-Works software as an Eigensystem, where the eigenvalues and eigenvectors represent the natural frequencies and the mode shapes, respectively. The lowest eigenvalues (1.1006e-008 Hz) correspond to the lowest characteristic frequencies of the physical system of Lekki Bridge and are typically more interesting than the higher modes simply because the physical system tends to experience the lower modes as dominant vibration frequencies. Keywords—Computer Techniques, Vibrational characteristics, Lekki Bridge, ANSYS, SOLIDWorks, Eigen System.","PeriodicalId":184033,"journal":{"name":"Seventh International Conference on Advances in Civil Structural and Environmental Engineering ACSEE 2018","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134199539","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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