SIMULATION AND COMPUTER MODELING OF BRIDGE STRUCTURES DYNAMICS USING ANSYS
Article Sidebar
Open full text
Issue Vol. 14 No. 1 (2024)
-
SOME MORE ON LOGARITHMIC SINGULARITY INTEGRATION IN BOUNDARY ELEMENT METOD
Tomasz Rymarczyk, Jan Sikora5-10
-
ЕLECTROMAGNETIC FIELD EQUATIONS IN NONLINEAR ENVIRONMENT
Viktor Lyshuk, Vasyl Tchaban, Anatolii Tkachuk, Valentyn Zablotskyi, Yosyp Selepyna11-16
-
OPTICAL SPECKLE-FIELD VISIBILITY DIMINISHING BY REDUCTION OF A TEMPORAL COHERENCE
Mikhaylo Vasnetsov, Valeriy Voytsekhovich, Vladislav Ponevchinsky, Nataliia Kachalova, Alina Khodko, Oleksanr Mamuta, Volodymyr Pavlov, Vadym Khomenko, Natalia Manicheva17-20
-
QUALITY INDICATORS OF DETECTION OF SIDE RADIATION SIGNALS FROM MONITOR SCREENS BY A SPECIALIZED TECHNICAL MEANS OF ENEMY INTELLIGENCE
Dmytro Yevgrafov, Yurii Yaremchuk21-26
-
THE IMPACT OF LIGHTNING STRIKE ON HYBRID HIGH VOLTAGE OVERHEAD TRANSMISSION LINE – INSULATED GAS LINE
Samira Boumous, Zouhir Boumous, Yacine Djeghader27-31
-
ENERGY EFFICIENCY OF PHOTOVOLTAIC PANELS DEPENDING ON THE STEP RESOLUTION OF TRACKING SYSTEM
Kamil Płachta32-36
-
DIGITAL IMAGE RESTORATION USING SURF ALGORITHM
Shanmukhaprasanthi Tammineni, Swaraiya Madhuri Rayavarapu, Sasibhushana Rao Gottapu, Raj Kumar Goswami37-40
-
TENSOR AND VECTOR APPROACHES TO OBJECTS RECOGNITION BY INVERSE FEATURE FILTERS
Roman Kvуetnyy, Yuriy Bunyak, Olga Sofina, Volodymyr Kotsiubynskyi, Tetiana Piliavoz, Olena Stoliarenko, Saule Kumargazhanova41-45
-
ARCHITECTURAL AND STRUCTURAL AND FUNCTIONAL FEATURES OF THE ORGANIZATION OF PARALLEL-HIERARCHICAL MEMORY
Leonid Timchenko, Natalia Kokriatska, Volodymyr Tverdomed, Iryna Yepifanova, Yurii Didenko, Dmytro Zhuk, Maksym Kozyr, Iryna Shakhina46-52
-
SIMULATION AND COMPUTER MODELING OF BRIDGE STRUCTURES DYNAMICS USING ANSYS
Anzhelika Stakhova, Adrián Bekö53-56
-
ENHANCING CROP HEALTH THROUGH DIGITAL TWIN FOR DISEASE MONITORING AND NUTRIENT BALANCE
Sobhana Mummaneni, Tribhuvana Sree Sappa, Venkata Gayathri Devi Katakam57-62
-
REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS
Patryk Mauer63-66
-
FORMATION OF HIGHLY SPECIALIZED CHATBOTS FOR ADVANCED SEARCH
Andrii Yarovyi, Dmytro Kudriavtsev67-70
-
METHOD FOR CALCULATING THE INFORMATION SECURITY INDICATOR IN SOCIAL MEDIA WITH CONSIDERATION OF THE PATH DURATION BETWEEN CLIENTS
Volodymyr Akhramovych, Yuriy Pepa, Anton Zahynei, Vadym Akhramovych, Taras Dzyuba, Ihor Danylov71-77
-
CORRESPONDENCE MATCHING IN 3D MODELS FOR 3D HAND FITTING
Maksym Tymkovych, Oleg Avrunin, Karina Selivanova, Alona Kolomiiets, Taras Bednarchyk, Saule Smailova78-82
-
GENETIC ALGORITHM-BASED DECISION TREE OPTIMIZATION FOR DETECTION OF DEMENTIA THROUGH MRI ANALYSIS
Govada Anuradha, Harini Davu, Muthyalanaidu Karri83-89
-
MEDICAL FUZZY-EXPERT SYSTEM FOR PREDICTION OF ENGRAFTMENT DEGREE OF DENTAL IMPLANTS IN PATIENTS WITH CHRONIC LIVER DISEASE
Vitaliy Polishchuk, Sergii Pavlov, Sergii Polishchuk, Sergii Shuvalov, Andriy Dalishchuk, Natalia Sachaniuk-Kavets’ka, Kuralay Mukhsina, Abilkaiyr Nazerke90-94
-
ROOT SURFACE TEMPERATURE MEASUREMENT DURING ROOT CANAL OBTURATION
Les Hotra, Oksana Boyko, Igor Helzhynskyy, Hryhorii Barylo, Pylyp Skoropad, Alla Ivanyshyn, Olena Basalkevych95-98
-
EVALUATING THE FEASIBILITY OF THERMOGRAPHIC IMAGES FOR PREDICTING BREAST TUMOR STAGE USING DCNN
Zakaryae Khomsi, Mohamed El Fezazi, Achraf Elouerghi, Larbi Bellarbi99-104
-
A COMPREHENSIVE STUDY: INTRACRANIAL ANEURYSM DETECTION VIA VGG16-DENSENET HYBRID DEEP LEARNING ON DSA IMAGES
Sobhana Mummaneni, Sasi Tilak Ravi, Jashwanth Bodedla, Sree Ram Vemulapalli, Gnana Sri Kowsik Varma Jagathapurao105-110
-
DEFORMATIONS OF SOIL MASSES UNDER THE ACTION OF HUMAN-INDUCED FACTORS
Mykola Kuzlo, Viktor Moshynskyi, Nataliia Zhukovska, Viktor Zhukovskyy111-114
-
RUNNING A WORKFLOW WITHOUT WORKFLOWS: A BASIC ALGORITHM FOR DYNAMICALLY CONSTRUCTING AND TRAVERSING AN IMPLIED DIRECTED ACYCLIC GRAPH IN A NON-DETERMINISTIC ENVIRONMENT
Fedir Smilianets, Oleksii Finogenov115-118
-
INTELLIGENT DATA ANALYSIS ON AN ANALYTICAL PLATFORM
Dauren Darkenbayev, Arshyn Altybay, Zhaidargul Darkenbayeva, Nurbapa Mekebayev119-122
Archives
-
Vol. 15 No. 3
2025-09-30 24
-
Vol. 15 No. 2
2025-06-27 24
-
Vol. 15 No. 1
2025-03-31 26
-
Vol. 14 No. 4
2024-12-21 25
-
Vol. 14 No. 3
2024-09-30 24
-
Vol. 14 No. 2
2024-06-30 24
-
Vol. 14 No. 1
2024-03-31 23
-
Vol. 13 No. 4
2023-12-20 24
-
Vol. 13 No. 3
2023-09-30 25
-
Vol. 13 No. 2
2023-06-30 14
-
Vol. 13 No. 1
2023-03-31 12
-
Vol. 12 No. 4
2022-12-30 16
-
Vol. 12 No. 3
2022-09-30 15
-
Vol. 12 No. 2
2022-06-30 16
-
Vol. 12 No. 1
2022-03-31 9
-
Vol. 10 No. 4
2020-12-20 16
-
Vol. 10 No. 3
2020-09-30 22
-
Vol. 10 No. 2
2020-06-30 16
-
Vol. 10 No. 1
2020-03-30 19
Main Article Content
DOI
Authors
Abstract
This study focuses on utilizing computer modeling and simulation techniques, specifically the ANSYS software, to analyze the dynamics of bridge structures. The primary objective was to study the vibrations of a riverbed metal bridge structure and determine their characteristics. The research involved theoretical dynamic calculations considering the design features of the bridge components and the materials used in their construction. The obtained results enabled the determination of resonance frequencies for the vibration modes. By utilizing the ANSYS software, a three-dimensional virtual model of the bridge structure was created, allowing for a detailed analysis of its dynamic behavior. The first three vibration modes of the riverbed metal bridge structure were calculated, and numerical results were obtained for six modes. The findings of this research have practical significance as they provide informed decision-making support during the construction, maintenance, and modernization of bridge structures. The study of bridge dynamics using advanced technologies contributes to enhancing the safety, reliability, and longevity of these vital infrastructure assets.
Keywords:
References
Abdulkarem M. et al.: Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction. Structural Health Monitoring 19(3), 2020, 693–735. DOI: https://doi.org/10.1177/1475921719854528
Bado M. F., Casas J. R.: A review of recent distributed optical fiber sensors applications for civil engineering structural health monitoring. Sensors 21(5), 2021, 1818. DOI: https://doi.org/10.3390/s21051818
Chang P. C., Flatau A., Liu S.-C.: Health monitoring of civil infrastructure. Structural health monitoring 2(3), 2003, 257–267. DOI: https://doi.org/10.1177/1475921703036169
Chen W.-F., Duan L. (eds): Bridge engineering handbook: construction and maintenance. CRC Press, 2014. DOI: https://doi.org/10.1201/b16467
Chopra A. K.: Dynamics of structures: Theory and Applications to Earthquake Engineering. Prentice Hall, 2012.
Cunha A. et al.: Recent perspectives in dynamic testing and monitoring of bridges. Structural Control and Health Monitoring 20(6), 2013, 853–877. DOI: https://doi.org/10.1002/stc.1516
de Sá Caetano E.: Cable vibrations in cable-stayed bridges. IABSE, 2007. DOI: https://doi.org/10.2749/sed009
Fujino Y.: Vibration, control and monitoring of long-span bridges—recent research, developments and practice in Japan. Journal of Constructional Steel Research 58(1), 2002, 71–97. DOI: https://doi.org/10.1016/S0143-974X(01)00049-9
Fukuda Y. et al.: Vision-based displacement sensor for monitoring dynamic response using robust object search algorithm. IEEE Sensors Journal 13(12), 2013, 4725–4732. DOI: https://doi.org/10.1109/JSEN.2013.2273309
Hasegawa S. et al.: Bridge damage detection utilizing dynamic force obtained from moving vehicle acceleration. Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability. CRC Press, 2022. DOI: https://doi.org/10.1201/9781003322641-123
Kim C.-W. et al.: Ambient and vehicle-induced vibration data of a steel truss bridge subject to artificial damage. Journal of Bridge Engineering 26(7), 2021, 04721002. DOI: https://doi.org/10.1061/(ASCE)BE.1943-5592.0001730
Kvasnikov V., Stakhova A.: Vibration Measurement Technologies and Systems. Safety in Aviation and Space Technologies: Select Proceedings of the 9th World Congress" Aviation in the XXI Century". Springer International Publishing, 2022. DOI: https://doi.org/10.1007/978-3-030-85057-9_5
Oksen E.: Defining the parameters of loading of concrete bridges superstructures basing on the level of vibroacoustic emission signals. Transportation Research Procedia 14, 2016, 3935–3942. DOI: https://doi.org/10.1016/j.trpro.2016.05.485
Samali B. et al.: Load rating of impaired bridges using a dynamic method. Electronic Journal of Structural Engineering 1, 2007, 66–75. DOI: https://doi.org/10.56748/ejse.661
Yau J. D., Yang Y. B.: Vibration reduction for cable-stayed bridges traveled by high-speed trains. Finite elements in analysis and design 40(3), 2004, 341–359. DOI: https://doi.org/10.1016/S0168-874X(03)00051-9
Zhu X. et al.: Damage identification in bridges by processing dynamic responses to moving loads: features and evaluation. Sensors 19(3), 2019, 463. DOI: https://doi.org/10.3390/s19030463
Article Details
Abstract views: 301

