Dr. Osman E. Ozbulut Profile

Dr. Osman E. Ozbulut

at Univ of Virginia

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Author

Publications (11)

Proceedings Article | 22 March 2021 Presentation + Paper

Printability characterization of graphene-reinforced cementitious composites

Ugur Kilic, Zhangfan Jiang, Ji Ma, Osman Ozbulut

Proceedings Volume 11589, 1158904 (2021) https://doi.org/10.1117/12.2585595

KEYWORDS: Cements, Composites, Printing, 3D printing, Scanning electron microscopy, Nanomaterials, Additive manufacturing, Raman spectroscopy, Optical microscopy, Manufacturing

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Proceedings Article | 22 March 2021 Presentation + Paper

Rheological and buildability characterization of PVA fiber-reinforced cementitious composites for additive construction

Justine Schulte, Ugur Kilic, Ji Ma, Osman Ozbulut

Proceedings Volume 11589, 115890F (2021) https://doi.org/10.1117/12.2588770

KEYWORDS: Cements, Composites, Fiber characterization, Additive manufacturing, Structured optical fibers, Silica, Printing, 3D printing

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Proceedings Article | 22 March 2021 Presentation + Paper

Mechanical properties and durability of cementitious composites reinforced by graphene nanoplatelets with different particle size and surface area

Zhangfan Jiang, Ugur Kilic, Osman Ozbulut

Proceedings Volume 11589, 115890E (2021) https://doi.org/10.1117/12.2584919

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Proceedings Article | 27 March 2018 Presentation + Paper

Reframing measurement for structural health monitoring: a full-field strategy for structural identification

Mehrdad Dizaji, Devin Harris, Mohamad Alipour, Osman Ozbulut

Proceedings Volume 10599, 1059910 (2018) https://doi.org/10.1117/12.2296521

KEYWORDS: Digital image correlation, Structural health monitoring, 3D modeling, Data modeling, Finite element methods, Cameras, Sensors, Optimization (mathematics), Mechanical sensors, Beam shaping

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Structural health monitoring (SHM) describes a decision-making framework that is fundamentally guided by state change detection of structural systems. This framework typically relies on the use of continuous or semi-continuous monitoring of measured response to quantify this state change in structural system behavior, which is often related to the initiation of some form of damage. Measurement approaches used for traditional SHM are numerous, but most are limited to either describing localized or global phenomena, making it challenging to characterize operational structural systems which exhibit both. In addition to these limitations in sensing, SHM has also suffered from the inherent robustness inherent to most full-scale structural systems, making it challenging to identify local damage. These challenges highlight the opportunity for alternative strategies for SHM, strategies that are able to provide data suitable to translate into rich information. This paper describes preliminary results from a refined structural identification (St-ID) approach using fullfield measurements derived from high-speed 3D Digital Image Correlation (HSDIC) to characterize uncertain parameters (i.e. boundary and constitutive properties) of a laboratory scale structural component. The St-ID approach builds from prior work by supplementing full-field deflection and strain response with vibration response derived from HSDIC. Inclusion of the modal characteristics within a hybrid-genetic algorithm optimization scheme allowed for simultaneous integration of mechanical and modal response, thus enabling a more robust St-ID strategy than could be achieved with traditional sensing techniques. The use of full-field data is shown to provide a more comprehensive representation of the global and local behavior, which in turn increases the robustness of the St-Id framework. This work serves as the foundation for a new paradigm in SHM that emphasizes characterizing structural performance using a smaller number, but richer set of measurements.

Proceedings Article | 2 April 2015 Paper

Experimental investigation of bond in concrete members reinforced with shape memory alloy bars

S. Daghash, M. Sherif, O. Ozbulut

Proceedings Volume 9431, 943115 (2015) https://doi.org/10.1117/12.2084106

KEYWORDS: Shape memory alloys, Digital image correlation, Resistance, Civil engineering, Optical fibers, Structural engineering, Corrosion, Earthquakes, Composites, Smart materials

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Proceedings Article | 1 April 2014 Paper

Design of isolated buildings with S-FBI system subjected to near-fault earthquakes using NSGA-II algorithm

O. Ozbulut, B. Silwal

Proceedings Volume 9057, 905709 (2014) https://doi.org/10.1117/12.2045174

KEYWORDS: Shape memory alloys, Buildings, Earthquakes, Optical isolators, Performance modeling, Genetic algorithms, Optimization (mathematics), Near field, Control systems, Complex systems

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Proceedings Article | 1 April 2014 Paper

Superelastic viscous dampers for seismically resilient steel frame structures

O. Ozbulut, B. Meguira

Proceedings Volume 9057, 905732 (2014) https://doi.org/10.1117/12.2045169

KEYWORDS: Shape memory alloys, Performance modeling, Chemical elements, Control systems, Motion analysis, Mathematical modeling, Fuzzy logic, Motion models, Nonlinear response, Earthquakes

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Proceedings Article | 10 April 2010 Paper

Adaptive control of base-isolated buildings using piezoelectric friction dampers against near-field earthquakes

Maryam Bitaraf, Osman Ozbulut, Stefan Hurlebaus

Proceedings Volume 7643, 76432E (2010) https://doi.org/10.1117/12.847380

KEYWORDS: Buildings, Earthquakes, Adaptive control, Control systems, Fuzzy logic, Near field, Performance modeling, Matrices, Modulation, Picosecond phenomena

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This paper investigates the effectiveness of two adaptive control strategies for modulating control force of piezoelectric friction dampers (PFDs) that are employed as semi-active devices in combination with laminated rubber bearings for seismic protection of buildings. The first controller developed in this study is a direct adaptive fuzzy logic controller. It consists of an upper-level and a sub-level direct fuzzy controller. In the hierarchical control scheme, higher-level controller modifies universe of discourse of both premise and consequent variables of the sub-level controller using scaling factors in order to determine command voltage of the damper according to current level of ground motion. The sub-level fuzzy controller employs isolation displacement and velocity as its premise variables and command voltage as its consequent variable. The second controller is based on the simple adaptive control (SAC) method, which is a type of direct adaptive control approach. The objective of the SAC method is to make the plant, the controlled system, track the behavior of the structure with the optimum performance. By using SAC strategy, any change in the characteristics of the structure or uncertainties in the modeling of the structure and in the external excitation would be considered because it continuously monitors its own performance to modify its parameters. Here, SAC methodology is employed to obtain the required force which results in the optimum performance of the structure. Then, the command voltage of the PFD is determined to generate the desired force. For comparison purposes, an optimal controller is also developed and considered in the simulations together with maximum passive operation of the friction damper. Time-history analyses of a base-isolated five-story building are performed to evaluate the performance of the controllers. Results reveal that developed adaptive controllers can successfully improve seismic response of the base-isolated buildings against various types of earthquakes.

Proceedings Article | 9 April 2010 Paper

Optimum design of bridges with superelastic-friction base isolators against near-field earthquakes

Osman Ozbulut, Stefan Hurlebaus

Proceedings Volume 7643, 764306 (2010) https://doi.org/10.1117/12.847378

KEYWORDS: Shape memory alloys, Bridges, Earthquakes, Near field, Optical isolators, Terbium, Temperature metrology, Fuzzy logic, Motion models, Data modeling

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Proceedings Article | 1 April 2010 Paper

Performance evaluation of shape memory alloy/rubber-based isolation systems for seismic response mitigation of bridges

Osman Ozbulut, Stefan Hurlebaus

Proceedings Volume 7647, 76473X (2010) https://doi.org/10.1117/12.847601

KEYWORDS: Shape memory alloys, Bridges, Earthquakes, Temperature metrology, Optical isolators, Fuzzy logic, Motion models, Numerical simulations, Data modeling, Lead

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Proceedings Article | 30 March 2009 Paper

A temperature- and strain-rate-dependent model of NiTi shape memory alloys for seismic control of bridges

Osman Ozbulut, Stefan Hurlebaus

Proceedings Volume 7292, 729241 (2009) https://doi.org/10.1117/12.815637

KEYWORDS: Shape memory alloys, Bridges, Data modeling, Fuzzy logic, Temperature metrology, Earthquakes, Fuzzy systems, Numerical simulations, Complex systems, Systems modeling

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Showing 5 of 11 publications

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