Article
Nanoscience & Nanotechnology
Elfin L. Howard, Anna M. Osterholm, D. Eric Shen, L. Prerana Panchumarti, Carlos Pinheiro, John R. Reynolds
Summary: The article discusses the use of conjugated electrochromic polymers to optimize flexible EC displays, providing high-quality color-changing displays within budget constraints.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Robotics
Jiajie Guo, Chuxuan Guo, Jialei Zhou, Kui Duan, Qining Wang
Summary: This article presents a method to capture mechanical deformations of muscle contraction using wearable flexible sensors. The method is validated through model calibration and experimental testing, and it demonstrates high accuracy and stability in measuring muscle strain. The sensing model is calibrated using ultrasound medical imaging, and the effectiveness and accuracy of the method are confirmed through gait pattern identification experiments. This non-invasive measurement method has great potential for muscle deformation monitoring and motion pattern recognition.
Review
Chemistry, Multidisciplinary
Yang Li, Xin Zhou, Biporjoy Sarkar, Noemy Gagnon-Lafrenais, Fabio Cicoira
Summary: Materials that can regenerate themselves after being damaged have been studied for a long time. Recently, there has been a growing interest in self-healing electronic materials for various applications. Conducting polymers, such as PEDOT, PPy, and PANI, are particularly attractive due to their high conductivity, stability, flexibility, processability, and biocompatibility. This review article discusses recent developments in the field, including different types of healing, strategies to optimize electrical and mechanical properties, and future challenges and perspectives.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Victor Hernandez, Robert S. Jordan, Ian M. Hill, Bohao Xu, Chenxi Zhai, Di Wu, Hansong Lee, John Misiaszek, Kiana Shirzad, Miguel F. Martinez, Ahmet Kusoglu, Jingjie Yeo, Yue Wang
Summary: This article describes a design strategy for electronic materials using conducting polymers that can dynamically adapt to deformation rates. By utilizing interconnected nanoscopic core-shell micelles, the shells retain material integrity under strain while the cores control the extent of elongation, adapting to deformation rates. A prototype based on polyaniline showed significant increases in ultimate elongation and toughness at increasing deformation rates. This concept can be applied to create self-protective soft electronic materials with enhanced durability.
Article
Chemistry, Multidisciplinary
Subir K. Pati, Dhananjaya Patra, Sunita Muduli, Sabyashachi Mishra, Sungjune Park
Summary: Solution-processable conducting polymers (CPs) are a promising alternative to inorganic materials for flexible organic electronics. In this study, four CPs with benzodithiophenedione (BDD) and diketopyrrolepyrrole (DPP) were synthesized. The BDDTH-DPPEH polymer showed the highest specific capacitance of 126.5 F g(-1) in an organic electrolyte and exhibited improved supercapacitor properties with increasing conjugation length and shorter alkyl chain lengths. A symmetric supercapacitor device using BDDTH-DPPEH achieved a high-power density of 4000 W kg(-1) and an energy density of 31.66 Wh kg(-1).
Article
Chemistry, Multidisciplinary
Lijun Lu, Chunpeng Jiang, Guosheng Hu, Jingquan Liu, Bin Yang
Summary: Noncontact human-machine interaction is highly desired due to issues with contact sensors, especially during pandemics. A flexible high-sensitivity humidity sensor and array utilizing multilayer graphene in electrospun polyamide has been developed for noncontact asthma detection and medicine delivery for bedridden patients. The development of such technology could lead to a new era of smart electronics with noncontact interaction.
ADVANCED MATERIALS
(2021)
Article
Nanoscience & Nanotechnology
Shangzhi Chen, Magnus P. Jonsson
Summary: Metals have dominated as plasmonic materials for decades, but their limited tunability has been a drawback. In contrast, conducting polymers provide exceptional tunability and have recently emerged as dynamic plasmonic materials. By modulating their charge carrier density through redox state, conducting polymers enable reversible and gradual transitions between optically metallic and dielectric behavior. This opens up possibilities for tunable functionalities in nanoantennas and phase gradient metasurfaces, with potential applications in video holograms. This Perspective discusses the emergence of dynamic conducting polymer plasmonics as a new research direction, highlighting recent developments, challenges, and future opportunities.
Article
Construction & Building Technology
Yuxia Suo, Haiting Xia, Rongxin Guo, Yang Yang
Summary: Advances in the utilization of graphene materials have led to the development of smart cement composites that have self-sensing capabilities. The addition of graphene oxide can decrease electrical resistivity and improve the self-sensing abilities of cement pastes. The piezoresistive model built for graphene oxide/cement composites accurately describes the relationship between resistance changes and compressive stress/strain.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Ruizhe Yang, Matthew Benner, Zipeng Guo, Chi Zhou, Jun Liu
Summary: Dynamic Schottky direct-current (DC) generators show great potential for energy harvesting, but the lack of understanding of DC generation in conducting polymer-based generators has hindered their applications. A high-performance, flexible Schottky DC generator demonstrated large current density and scaled-up DC output, inheriting flexibility from the long-chain polymer concept and showing promise for next-generation wearable devices.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Polymer Science
Mai Takenouchi, Masaru Mukai, Taichi Furukawa, Shoji Maruo
Summary: In this study, highly conductive three-dimensional wiring was successfully fabricated using a precise 3D printing method. The importance of doping agents in the post-fabrication process was discussed. Flexible wiring was demonstrated by modeling the wiring on a polyimide film with surface treatment and creating a three-dimensional object.
Review
Nanoscience & Nanotechnology
Yuejiao Wang, Mukhtar Lawan Adam, Yunlong Zhao, Weihao Zheng, Libo Gao, Zongyou Yin, Haitao Zhao
Summary: To achieve a highly connected and productive smart society, advanced flexible sensing technology is essential. Recent advances in flexible sensing technology have improved the hardware performance of sensor devices and the data processing capabilities of their software. Significant research efforts have been dedicated to enhancing materials, sensing mechanisms, and configurations of flexible sensing systems to meet future technological requirements. Additionally, machine learning (ML) has emerged as a powerful tool for interpreting complex data collected by sensors and addressing challenges associated with multi-dimensional and multi-faceted information. This review presents the working mechanisms and common types of flexible mechanical sensors, explores how ML-assisted data interpretation enhances the applications of these sensors in various areas, and discusses the advantages, challenges, and future prospects of integrating flexible mechanical sensing technology with ML algorithms, ultimately contributing to the advancement of next-generation flexible mechanical sensing.
NANO-MICRO LETTERS
(2023)
Article
Chemistry, Physical
Sandra Magina, Alisa Rudnitskaya, Silvia Soreto, Luis Cadillon Costa, Ana Barros-Timmons, Dmitry Evtuguin
Summary: Lignosulfonate-based polyurethanes doped with multiwalled carbon nanotubes were synthesized and utilized as a sensitive material for all-solid-state potentiometric chemical sensors. These sensors exhibited a near-Nernstian or super-Nernstian response to various transition metals and redox pairs. Unlike other lignin-based sensors, the LS-based polymeric membrane did not show irreversible complexation with Hg(II).
Article
Chemistry, Analytical
Manav Tyagi, Maryam Fathollahzadeh, Jose G. Martinez, Wing Cheung Mak, Daniel Filippini, Edwin W. H. Jager
Summary: A new radially expanding conducting polymer microactuator is presented for use in an electrically controlled microparticle sieve. The microactuators, made of SU-8 combined with conducting polymers, function as dynamic gates that control the porosity of the filter, allowing for the filtration of specific sizes of microparticles. The design of the sieve provides user-defined channel width modulation with external stimuli and combines photolithography and electrochemical polymerizations with additive manufacturing.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)
Article
Construction & Building Technology
Ayoub Dehghani, Farhad Aslani
Summary: The piezoresistive behavior of self-compacting cementitious composites incorporating SMAFs, SFs, and CFs is investigated, allowing stress and strain sensing under cyclic compression.
The composites consist of cement, fly ash, ground-granulated blast-furnace slag, and silica fume with various fiber volume fractions.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Engineering, Mechanical
Mingkai Wang, Ke Yan, Qiang Tang, Jindao Guo, Yongsheng Zhu, Jun Hong
Summary: A comprehensive dynamic model of ball bearings with flexible structures is developed in this study. The flexibility of the cage is represented by splitting it into discrete segments linked by nonlinear springs. The effect of cage flexibility on cage clearance is considered, as well as the race flexibility generated by the assembly status variation. The results show that rational design for structure flexibility can optimize bearing rotary performance.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Engineering, Multidisciplinary
Antti Valkonen, Branko Glisic
Summary: Different rational individuals may make different decisions under the same conditions due to their risk preferences, which can have significant effects on the feasibility of implementation in multi-stakeholder decision-making regarding structural health monitoring. Understanding stakeholders' risk attitudes is crucial for decision-making in structural health monitoring, as shown in previous research using the expected utility theory.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Environmental Sciences
Vivek Kumar, Isabel M. Morris, Santiago A. Lopez, Branko Glisic
Summary: Estimating variations in material properties over space and time is crucial for structural health monitoring of civil infrastructure. Nondestructive methods like ground penetrating radar (GPR) are being used to assess in situ material properties of concrete, with a focus on compressive strength. The study shows that GPR attributes can successfully identify spatial and temporal variations in concrete properties, providing valuable insights for field applications.
Article
Construction & Building Technology
Byung Kwan Oh, Hyo Seon Park, Branko Glisic
Summary: The proposed method utilizes a convolutional neural network to establish the relationship between air temperature and structural response in concrete structures, predicting strain using only temperature data in case of sensor data loss. Validation was done using long-term data from fiber optic sensors in a concrete footbridge at Princeton University and temperature data from a nearby weather station.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Engineering, Civil
Shengzhe Wang, Maria Garlock, Branko Glisic
Summary: The legacy of master builder Felix Candela lies in his extensive use of hypar umbrellas in architecture across the Americas. These umbrellas embody efficiency, economy, and elegance, but lack a unified mathematical description. This research introduces equations for analysis and design, along with a simplified method for computing surface area.
ENGINEERING STRUCTURES
(2022)
Article
Construction & Building Technology
Shengzhe Wang, Maria Garlock, Luc Deike, Branko Glisic
Summary: The paper discusses the integration of Felix Candela's hypar shells into architecture and explores the use of kinetic umbrellas as an alternative to conventional floodwalls. Through numerical simulation and experimental validation, the performance of kinetic umbrellas under surge and wave loading is evaluated, showing that specific hypar geometries greatly enhance structural performance.
JOURNAL OF STRUCTURAL ENGINEERING
(2022)
Article
Chemistry, Analytical
Branko Glisic
Summary: Strain plays a crucial role in civil structural health monitoring, as it directly reflects the structural performance, safety, and serviceability. Over the past century, strain sensors have evolved from discrete sensors to distributed sensors, enabling global structural and integrity monitoring.
Editorial Material
Engineering, Civil
Branko Glisic, Xin Feng, Daniele Inaudi
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2022)
Article
Engineering, Civil
Mauricio Pereira, Branko Glisic
Summary: Concrete displays complex long-term behavior influenced by its rheological properties. Predicting the long-term behavior of concrete structures is challenging due to stochastic rheological phenomena and uncontrolled conditions. Existing approaches involve computationally intensive methods but are not always specific to a particular structure. This study proposes a hybrid method that combines probabilistic neural networks and engineering code models to predict long-term behavior in concrete structures, achieving excellent accuracy in a real pedestrian bridge.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2022)
Article
Computer Science, Artificial Intelligence
Hyo Seon Park, Taehoon Hong, Dong-Eun Lee, Byung Kwan Oh, Branko Glisic
Summary: This study presents a model for predicting long-term strain in concrete structures using weather data. A convolutional neural network is used to establish the relationship between weather and strain data, and different types of weather data are utilized to determine the significant factors for concrete deformation prediction.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Chemistry, Analytical
Mauricio Pereira, Branko Glisic
Summary: Concrete exhibits time-dependent long-term behavior driven by creep and shrinkage, which are difficult to predict due to their stochastic nature and dependence on loading history. Existing empirical models do not capture differential rheological effects and require numerical models for application to real structures. Data-driven approaches using structural health monitoring data have shown promise but require different model parameters for each sensor and do not leverage geometry and loading. This work introduces a physics-informed data-driven approach for predicting the long-term behavior of 2D normal strain field in prestressed concrete structures.
Article
Construction & Building Technology
Mohsen Mousavi, Amir H. Gandomi, Magd Abdel Wahab, Branko Glisic
Summary: This study proposes a method for long-term condition monitoring of civil infrastructures using machine learning algorithms. By monitoring the prediction error of air temperature recorded at the site of a structure, the proposed method accurately detects structural damage. The results show that the interaction linear regression model is the most accurate machine learning algorithm and outperforms the direct strategy.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Construction & Building Technology
Moriah Hughes, Sofia Celli, Camille Heubner, Maria Garlock, Federica Ottoni, Davide Del Curto, Shengzhe Wang, Branko Glisic
Summary: This study diagnosed and identified the structural damage of the Ballet School domes in Havana, Cuba using numerical analysis methods. It also proposed suitable preventive and repair solutions based on the findings. Understanding the significance of these structures and preserving them is crucial.
JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
(2023)
Article
Computer Science, Artificial Intelligence
Mauricio Pereira, Branko Glisic
Summary: Temperature effects play a crucial role in the strain and deformations of civil infrastructure. Accurate methods for detecting and quantifying anomalies in temperature data are necessary. This study proposes a probabilistic neural network as a temperature prediction model and introduces a sensible threshold to mitigate seasonal biases. Additionally, a novel drift detection and quantification method based on the evolution of probability distributions is presented.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Bianca Acot, Branko Glisic, Annegret Dettwiler, Michael D. Gilchrist
Summary: This paper examines the impact of head collisions on concussions in football through video analysis, finite element simulation, and correlation of biomechanical and neuroimaging metrics. The study also proposes a method to improve the process of finite element modeling. By addressing areas for improvement in accident reconstruction and simulation, researchers can enhance the accuracy of head impact simulations and eventually use them for diagnostic purposes.
COMPUTER METHODS, IMAGING AND VISUALIZATION IN BIOMECHANICS AND BIOMEDICAL ENGINEERING II
(2023)
Article
Engineering, Civil
Byung Kwan Oh, Branko Glisic, Hyo Seon Park
Summary: This study introduces a damage detection method for building structures using CNNs, which detects damages by comparing MPR variations between damaged and healthy structures without the need for identifying modal parameters. The CNN is trained to establish the relationship between MPR variations and damage information, enabling accurate estimation of damages.
SMART STRUCTURES AND SYSTEMS
(2021)
