Engineering Commons^™

Hyperspectral Imaging And Data Analytics For Civil Infrastructure Inspection, Genda Chen

INSPIRE Archived Webinars

In this 50-minute lecture, the fundamental concept of hyperspectral imaging is reviewed. Each hyperspectral image represents a narrow, contiguous wavelength range of an electromagnetic spectrum, which could be indicative of a chemical substance. All the images in the spectral range of a hyperspectral camera are combined to form a three-dimensional hyperspectral data cube with two spatial dimensions and one spectral dimension. A hyperspectral cube can be sampled in four ways: spatial scanning, spectral scanning, snapshot imaging, and spatio-spectral scanning. This presentation will be focused on spatial scanning from a line-scan camera. The feasibility of horizontal imaging from a synchronized hyperspectral …

Naturally Occurring Van Der Waals Heterostructure Lengenbachite With Strong In-Plane Structural And Optical Anisotropy, Arindam Dasgupta, Xiaodong Yang, Jie Gao

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Lengenbachite is a naturally occurring layered mineral formed with alternating stacks of two constituent PbS-like and M₂S₃-like two-dimensional (2D) material layers due to the phase segregation process during the formation. Here, we demonstrate to achieve van der Waals (vdW) heterostructures of lengenbachite down to a few layer-pair thickness by mechanical exfoliation of bulk lengenbachite mineral. The incommensurability between the constituent isotropic 2D material layers makes the formed vdW heterostructure exhibit strong in-plane structural anisotropy, which leads to highly anisotropic optical responses in lengenbachite thin flakes, including anisotropic Raman scattering, linear dichroism, and anisotropic third-harmonic generation. Moreover, …

Faster Post-Earthquake Damage Assessment Based On 1d Convolutional Neural Networks, Xinzhe Yuan, Dustin Tanksley, Liujun Li, Haibin Zhang, Genda Chen, Donald C. Wunsch

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Contemporary deep learning approaches for post-earthquake damage assessments based on 2D convolutional neural networks (CNNs) require encoding of ground motion records to transform their inherent 1D time series to 2D images, thus requiring high computing time and resources. This study develops a 1D CNN model to avoid the costly 2D image encoding. The 1D CNN model is compared with a 2D CNN model with wavelet transform encoding and a feedforward neural network (FNN) model to evaluate prediction performance and computational efficiency. A case study of a benchmark reinforced concrete (r/c) building indicated that the 1D CNN model achieved a prediction …

Machine Learning For High-Fidelity Prediction Of Cement Hydration Kinetics In Blended Systems, Rachel Cook, Taihao Han, Alaina Childers, Cambria Ryckman, Kamal Khayat, Hongyan Ma, Jie Huang, Aditya Kumar

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The production of ordinary Portland cement (OPC), the most broadly utilized man-made material, has been scrutinized due to its contributions to global anthropogenic CO₂ emissions. Thus -- to mitigate CO₂ emissions -- mineral additives have been promulgated as partial replacements for OPC. However, additives -- depending on their physiochemical characteristics -- can exert varying effects on OPC's hydration kinetics. Therefore -- in regards to more complex systems -- it is infeasible for semi-empirical kinetic models to reveal the underlying nonlinear composition-property (i.e., reactivity) relationships. In the past decade or so, machine learning (ML) has arisen as a promising, …

Semi-Annual Progress Report #9, Missouri University Of Science And Technology. Inspire - University Transportation Center

Semi-Annual Progress Reports

No abstract provided.

Three-Dimensional Printing Of Reinforced Concrete And Nozzle Therefor, Chenglin Wu, Genda Chen, Dimitri Feys, Guirong Grace Yan, Bryce Tyler Tafolla

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

A three-dimensional printing system for reinforced concrete and a nozzle therefor. The system employs an extruder for extruding unreinforced concrete and a concrete reinforcement feeder is for feeding one or more elongate reinforcement members. The nozzle has an outlet and is operatively connected to the extruder and the concrete reinforcement feeder to receive the unreinforced concrete from the extruder and to receive the one or more elongate reinforcement members from the concrete reinforcement feeder. The nozzle combines the unreinforced concrete from the extruder and the one or more elongate reinforcement members from the concrete reinforcement feeder into a reinforced concrete …

Image-Based Bridge Defect Detection And Monitoring Technologies, Jian Zhang

INSPIRE Archived Webinars

Computer-vision is an emerging technology which has been widely used in the field of structural health monitoring. This seminar will cover the latest achievements of our research group in defect detection, health monitoring, and construction control using image-based technologies. For defect detection, advanced unmanned aerial vehicles (UAVs) have been developed to automatically detect surface cracks and other types of structural damages based on digital image processing techniques. An integrated navigation system combining binocular camera and inertial sensor enables automated route planning for the developed UAVs in case of GPS failure. Specifically, a wall-climbing UAV is designed to acquire detailed surface …

Evaluation Of Guayule Resin As An Innovative Bio-Based Asphalt Alternative In Mix Performance -- Preprint, Ahmed Hemida, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Literature revealed the potential of using guayule resin for asphalt cement replacement from the binder’s perspective. However, monitoring guayule resin through binder-aggregate mixture could disclose its performance through field. In this study, designated binders were employed to investigate the applicability of such an innovative replacer through mixture, which were neat asphalt and guayule-based binders (neat guayule, asphalt-rubber-guayule, guayule-rubber binders). Consecutively, field-simulated lab mixtures were prepared to investigate the major distresses. Moisture damage, rutting, fatigue cracking, and thermal cracking resistances were investigated using the modified Lottman (TSR) test, rut test by asphalt pavement analyzer (APA), semi-circular bending (SCB) test, and disk-shaped …

Mrda-Mgfsnet: Network Based On A Multi-Rate Dilated Attention Mechanism And Multi-Granularity Feature Sharer For Image-Based Butterflies Fine-Grained Classification, Maopeng Li, Guoxiong Zhou, Weiwei Cai, Jiayong Li, Mingxuan Li, Mingfang He, Yahui Hu, Liujun Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Aiming at solving the problems of high background complexity of some butterfly images and the difficulty in identifying them caused by their small inter-class variance, we propose a new fine-grained butterfly classification architecture, called Network based on Multi-rate Dilated Attention Mechanism and Multi-granularity Feature Sharer (MRDA-MGFSNet). First, in this network, in order to effectively identify similar patterns between butterflies and suppress the information that is similar to the butterfly's features in the background but is invalid, a Multi-rate Dilated Attention Mechanism (MRDA) with a symmetrical structure which assigns different weights to channel and spatial features is designed. Second, fusing the …

Fiber Optic Sensor Based Corrosion Assessment In Reinforced Concrete Members, Genda Chen

INSPIRE Archived Webinars

In this 50-minute lecture, the fundamental concepts of fiber optic sensors for both distributed and point corrosion measurements are reviewed. For the distributed monitoring of a line bridge component such as steel reinforced girders, Brillouin scattering and fiber Bragg gratings (FBG) can be coupled to measure both temperature and radial strain as an indirect indicator of corrosion process. For the point monitoring of steel structures, long period fiber gratings (LPFG) are specially designed for a direct measurement of mass loss or the loss in cross sectional area of the component. In particular, a Fe-C coated LPFG sensor is introduced for …

Case Studies Of Problematic Expansive Soils: Characterization Challenges, Innovative Stabilization Designs, And Novel Monitoring Methods, Anand J. Puppala

Abbett Distinguished Seminar Series

This presentation describes key research works on expansive soils, the methods employed to characterize them, and fallacies in the current characterization of expansive soils. Novel swell characterization models that account for hydro, chemical, and mechanical behaviors of soils are introduced and used in various case studies to improve expansive soil stabilization practices. An innovative design method for successful stabilization of expansive soil is introduced in one case study which incorporated both basic clay mineralogy and unsaturated soil behaviors, as well as performance-based durability studies. Sulfate soil stabilization works on medium-to-high sulfate soils are presented in another case study. The last …

Investigating The Relationship Between The Fatigue Cracking Resistance And Thermal Characteristics Of Asphalt Binders Extracted From Field Mixes Containing Recycled Materials, Eslam Deef-Allah, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Asphalt components have a significant contribution to the fatigue cracking resistance of asphalt mixes. Softer asphalt binders, characterized through the Superpave grading system, resist fatigue cracking more than stiffer binders. During the long-term aging, the binders’ components changed from lower- to higher-molecular-weight constituents that increased binders’ stiffnesses. Using recycled materials in the mixes increases the stiffnesses of the binders inside these mixes by altering the binders’ components. The binders were extracted and recovered (E & R) from field mixes containing different percentages of recycled materials [reclaimed asphalt pavement (RAP) and recycled asphalt shingles] and binders’ performance grades. The fatigue resistance …

Semi-Annual Progress Report #8, Missouri University Of Science And Technology. Inspire - University Transportation Center

Semi-Annual Progress Reports

No abstract provided.

Encoding Time-Series Ground Motions As Images For Convolutional Neural Networks-Based Seismic Damage Evaluation, Xinzhe Yuan, Dustin Tanksley, Pu Jiao, Liujun Li, Genda Chen, Donald C. Wunsch

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Traditional methods for seismic damage evaluation require manual extractions of intensity measures (IMs) to properly represent the record-to-record variation of ground motions. Contemporary methods such as convolutional neural networks (CNNs) for time series classification and seismic damage evaluation face a challenge in training due to a huge task of ground-motion image encoding. Presently, no consensus has been reached on the understanding of the most suitable encoding technique and image size (width × height × channel) for CNN-based seismic damage evaluation. In this study, we propose and develop a new image encoding technique based on time-series segmentation (TS) to transform acceleration …

Establishment Of Regional Phytoremediation Buffer Systems For Ecological Restoration In The Great Lakes Basin, Usa. Ii. New Clones Show Exceptional Promise, Andrej Pilipović, Ronald S. Zalesny, Elizabeth R. Rogers, Bernard G. Mcmahon, Neil D. Nelson, Joel Gerard Burken, Richard A. Hallett, Chung Ho Lin

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Poplar tree improvement strategies are needed to enhance ecosystem services’ provisioning and achieve phytoremediation objectives. We evaluated the establishment potential of new poplar clones developed at the University of Minnesota Duluth, Natural Resources Research Institute (NRRI) from sixteen phytoremediation buffer systems (phyto buffers) (buffer groups: 2017 × 6; 2018 × 5; 2019 × 5) throughout the Lake Superior and Lake Michigan watersheds. We divided clones into Experimental (testing stage genotypes) and Common (commercial and/or research genotypes) clone groups and compared them with each other and each NRRI clone (NRRI group) at the phyto buffers. We tested for differences in clone …

Establishment Of Regional Phytoremediation Buffer Systems For Ecological Restoration In The Great Lakes Basin, Usa. I. Genotype X Environment Interactions, Ronald S. Zalesny, Andrej Pilipović, Elizabeth R. Rogers, Joel Gerard Burken, For Full List Of Authors, See Publisher's Website.

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Poplar remediation systems are ideal for reducing runoff, cleaning groundwater, and delivering ecosystem services to the North American Great Lakes and globally. We used phytorecurrent selection (PRS) to establish sixteen phytoremediation buffer systems (phyto buffers) (buffer groups: 2017 × 6; 2018 × 5; 2019 × 5) throughout the Lake Superior and Lake Michigan watersheds comprised of twelve PRS-selected clones each year. We tested for differences in genotypes, environments, and their interactions for health, height, diameter, and volume from ages one to four years. All trees had optimal health. Mean first-, second-, and third-year volume ranged from 71 ± 26 to …

Human-Robot Collaboration For Effective Bridge Inspection In The Artificial Intelligence Era, Ruwen Qin

INSPIRE Archived Webinars

Advancements in sensor, Artificial Intelligence (AI), and robotic technologies have formed a foundation to enable a transformation from traditional engineering systems to complex adaptive systems. This paradigm shift will bring exciting changes to civil infrastructure systems and their builders, operators and managers. Funded by the INSPIRE University Transportation Center (UTC), Dr. Qin’s group investigated the holism of an AI-robot-inspector system for bridge inspection. Dr. Qin will discuss the need for close collaboration among the constituent components of the AI-robot-inspector system. In the workplace of bridge inspection using drones, the mobile robotic inspection platform rapidly collected big inspection video data that …

Development Of Design Tables For The Cold-Formed Steel Cross-Sections In Aisi D100, Committee On Specifications For The Design Of Cold-Formed Steel Structural Members

American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)

This report with the tables in an Excel file intends to provide the local and distortional buckling strengths for the cross-sections provided in AISI Cold-Formed Steel Design Manual to aid design engineers.

Development Of Cufsm Hole Module And Design Tables For The Cold-Formed Steel Cross-Sections With Typical Web Holes In Aisi D100, Committee On Specifications For The Design Of Cold-Formed Steel Structural Members

American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)

This report summarizes the effort to develop a simple hole module to perform elastic buckling analysis to obtain the design parameters needed for DSM considering the influence of holes. The hole module requires simple inputs and direct outputs of the elastic buckling information of the local and distortional buckling modes for both gross sections and sections with hole influences.

Review Of Testing By Analysis For Potential Implementation Into Aisi Standards, Committee On Specifications For The Design Of Cold-Formed Steel Structural Members

American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)

New product development is crucial to allow innovation in the cold-formed steel structural industry. However, the required physical testing of new components and assemblies are often a cost barrier which prevents implementation and slows new product development. Testing by analysis can be a good alternative to physical testing as it reduces the expense and time for performing physical experiments, however, two considerations are necessary to ensure accurate results. First, it requires a rational engineering analysis to calculate the capacities and deformations of the system, and the requirements to produce accurate analyses must be explicitly stated. Second, it is necessary to …

Steel Diaphragm Innovation Initiative, Year 5, Final Report, American Iron And Steel Institute

American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)

Summary

The Steel Diaphragm Innovation Initiative (SDII) is a multi-year industry-academic-government partnership to advance the seismic performance of steel floor and roof diaphragms utilized in steel buildings. This report provides a final report for Year 5 of the overall 5-year SDII plan. Contributions in the final 12 months (1 Jan. 2020 – 31 Dec. 2020) include the following highlights.

Innovation and Practice:

• Adoption in ASCE 7 of new provisions for bare steel deck including methods for buildings with rigid walls and flexible diaphragms, alternative diaphragm design with R_s, and special seismic detailing (following on from successful adoption in …

Tutorials For Mastan 2 And Related Validation, Committee On Specifications For The Design Of Cold-Formed Steel Structural Members

American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)

This report creates the tutorials helping engineers to correctly model and analyze structural systems comprised of non-doubly symmetric sections using the latest version of MASTAN2. The report also validated a MASTAN2 model using non-doubly symmetric sections against results from a small test program. The following report and tutorials are provided:

AISI Small Project Summary – Tutorials for MASTAN2 and Related Validation

• Tutorial for MASTAN2 v5.1 - Introductory Frame
• Tutorial for MASTAN2 v5.1 - Pour Stop Beam
• Tutorial for MASTAN2 v5.1 - Steel Joist

Quantitative Evaluation Of Asphalt Binder Extraction From Hot Mix Asphalt Pavement Using Ashing And Centrifuge Methods, Ahmed Hemida, Magdy Abdelrahman, Eslam Deef-Allah

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Asphalt binder requires more investigation to be accurately and precisely extracted since it is an effective procedure for quality assurance quality control (QA/QC) and subsequent binder characterization. In this research, the authors presented a hands-on experience with binder extraction to deliver recommendations concerning the sensitive steps that may affect the outcomes (extracted binder content, P_be%). Two mineral matter determination methods (ashing and centrifuge) were addressed based on the centrifuge extraction method. Field cores were investigated by comparing the P_be% to the actual binder content, P_ba%. Analysis of variance (ANOVA) and Tukey Post-Hoc statistical analyses, …

Machine Learning Enables Prompt Prediction Of Hydration Kinetics Of Multicomponent Cementitious Systems, Jonathan Lapeyre, Taihao Han, Brooke Wiles, Hongyan Ma, Jie Huang, Gaurav Sant, Aditya Kumar

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Carbonaceous (e.g., limestone) and aluminosilicate (e.g., calcined clay) mineral additives are routinely used to partially replace ordinary portland cement in concrete to alleviate its energy impact and carbon footprint. These mineral additives—depending on their physicochemical characteristics—alter the hydration behavior of cement; which, in turn, affects the evolution of microstructure of concrete, as well as the development of its properties (e.g., compressive strength). Numerical, reaction-kinetics models—e.g., phase boundary nucleation-and-growth models; which are based partly on theoretically-derived kinetic mechanisms, and partly on assumptions—are unable to produce a priori prediction of hydration kinetics of cement; especially in multicomponent systems, wherein chemical interactions among …

A High-Temperature-Resistant Inorganic Matrix For Concrete Structures Enhanced By Fiber-Reinforced Polymer, Jing Zhu, Wenzhong Zheng, Lili Xie, Lesley Sneed

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This paper probed deep into a high-temperature resistant inorganic matrix: alkali-activated slag cement (AASC), which is a kind of cementitious material prepared by alkali-activator and pozzolanic or latent hydraulic material. Firstly, the mix ratio of the AASC was optimized to improve the wettability and mechanical properties. Then, the effects of the adhesive matrix and the type of fiber-reinforced polymer (FRP) were observed through FRP-to-concrete bond tests on 93 specimens. The test results, coupled with anchorage analysis, indicate that the AASC has comparable reinforcing effects as those of organic epoxy matrix; the anchorage length of FRP sheets has a significant influence …