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Smart structure under dynamic loading
Setio H.D.a, Widarbo R.a, Patta P.R.a, Setio S.a
a Civil Engineering Department, ITB, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]This paper presents an active control technique applied to building structures which are excited by external dynamic loadings such as earthquake, wind, and blasting. By using the active control system, the structural vibration responses can be decreased by giving control forces generated by actuator which is based on the responses of the structure. The control forces given to the structure are calculated by using genetic algorithm theory. The actual external loadings and the responses of the structure are measured by using dynamic sensors and placed at certain location on the structure. “Smart Structure” concept which is proposed in this paper is an efficient way in conceiving and designing an earthquake resistant building. This concept imitates the human neural system, where inside the human body there are sensors and energy against external forces or disturbances. The application of this system for building structures, needs a quick and accurate calculation of control forces. This requirement can be achieved by using combination of an Artificial Neural Network method and Genetic Algorithm approach. Non-linear structures calculation is also presented in this paper to consider non-linear phenomena which is in general the behavior of real structures excited by great external dynamic loadings.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Active control,Active control systems,Building structure,Control force,Dynamic loadings,Dynamic sensor,Earthquake loadings,Earthquake-resistant buildings,External dynamics,External force,External loading,Genetic algorithm approach,Human bodies,Neural systems,Non-linear phenomena,Nonlinear structure,Real structure,Structural vibrations[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Artificial neural network,Control force,Earthquake loading,Genetic algorithm,Non-linear structure,Smart Structure[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]