Pengcheng Jiao

Pengcheng Jiao
Zhejiang University | ZJU · Department of Ocean Science and Engineering

PhD

About

121
Publications
38,108
Reads
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1,728
Citations
Citations since 2016
116 Research Items
1716 Citations
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500

Publications

Publications (121)
Article
Hydrodynamics plays a significant role in the underwater motions, environmental disturbances, and kinematic characteristics of autonomous underwater vehicles (AUVs). However, the added mass coefficient has typically not been considered in analyzing the underwater motions of AUVs. Here is report the combustion actuated autonomous underwater vehicles...
Article
Bridge health monitoring system can play a role in bridge safety early warning, fatigue diagnosis, and life prediction. However, traditional bridge health monitoring system relies on manpower or battery power supply, which challenges the real-time effectiveness of health monitoring sensors. Herein, we proposed a self-powered bridge health monitorin...
Article
Underwater vehicles play important roles in underwater observation, ocean resource exploration, and sample collection. Soft robots are a unique type of underwater vehicles due to their good environmental adaptability and motion flexibility, although they are weak in terms of actuation and response ability. The transient driving method (TDM) was dev...
Patent
Full-text available
The present invention belongs to the field of energy harvesting, and in particular relates to an ocean wave energy collector based on magnetic force and triboelectric effect. The ocean wave energy collector includes a plurality of protective shells connected by flexible metal spring modules; a magnetic oscillation system is installed in each protec...
Article
Soft robotics has opened a unique path to flexibility and environmental adaptability, learning from nature and reproducing biological behaviors. Nature implies answers for how to apply robots to real life. To find out how we learn from creatures to design and apply soft robots, in this Review, we propose a classification method to summarize soft ro...
Article
Full-text available
To solve the global shortage of land and offshore resources, the development of deep-sea resources has become a popular topic in recent decades. Deep-sea composites are widely used materials in abyssal resources extraction, and corresponding marine exploration vehicles and monitoring devices for deep-sea engineering. This article firstly reviews th...
Article
The rapid development of sensing technology has driven the global energy demand for micro-to-milliwatt continuous power supply and increased the need for energy harvesters. This study reports the hybrid rotational energy harvester (H-REH) comprising piezoelectric, triboelectric, and electromagnetic (EM) generators for energy harvesting from low-win...
Article
Full-text available
Triboelectric nanogenerators (TENG) have been reported with attractive benefits such as adaptability, light weight, and simple integration, are interesting for self-powered sensor design. Herein, an innovative magnetically circular layers TENG (MCL-TENG) are reported for velocity sensing and damage detection. The key role of this structure is the m...
Article
Full-text available
Online education has been facing difficulty in predicting the academic performance of students due to the lack of usage of learning process, summative data and a precise prediction of quantitative relations between variables and achievements. To address these two obstacles, this study develops an artificial intelligence-enabled prediction model for...
Article
The combustion-enabled transient driving method (TDM) has been proposed to improve the payloads and response-ability of soft actuators. However, given the extremely rapid (~9 ms) and forceful (>600 N) phenomenon, TDM leads to challenges in quantitatively investigating the combustion-soft membrane interaction and predicting the corresponding thrust...
Article
Full-text available
As online learning has been widely adopted in higher education in recent years, artificial intelligence (AI) has brought new ways for improving instruction and learning in online higher education. However, there is a lack of literature reviews that focuses on the functions, effects, and implications of applying AI in the online higher education con...
Article
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With the increasing improvement of wearable gadgets, nanogenerators have been paid significant attention in recent years. In this study, we develop a hybrid PTNG for generating energy and monitoring. The PTNG uses magnetic force to implement the opposing force in the sliding mode between the Kapton and copper/aluminum layers for the triboelectric p...
Article
Hybrid piezoelectric and triboelectric nanogenerators are designed in magnetic structures to combine the technical advances for energy harvesting and active sensing in human walking. The cover illustrates the high‐performance, manageable energy harvesting gadgets with magnet‐enhanced electrical output from human motions. More details can be found i...
Article
Integrated structural health monitoring (SHM) uses the mechanism analysis, monitoring technology and data analytics to diagnose the classification, location and significance of structural situations (e.g., sudden or cumulative damages) to ensure the functionality and operation of bridges. Integrated SHM systems have improved the maintenance, manage...
Article
This study reports the oscillatory magnetic piezoelectric nanogenerators (OM-PENG) that use magnetic interaction in the oscillatory structure for energy harvesting under low-frequency and low-amplitude excitations. The OM-PENG are designed with the driving and driven magnets in a magnet-magnet coupled system and the driving magnet and driven mass i...
Article
Full-text available
Background Online Collaborative Writing (OCW) has been reported to be useful to improve writing quality in higher education. However, challenges emerge during the collaborative processes, mainly centering on how to sustain active interactions and communications in order to complete a high quality of writing. Objectives Using the design‐based resea...
Article
Full-text available
Triboelectric nanogenerators have received significant research attention in recent years. Structural design plays a critical role in improving the energy harvesting performance of triboelectric nanogenerators. Here, we develop the magnetic capsulate triboelectric nanogenerators (MC-TENG) for energy harvesting under undesirable mechanical excitatio...
Chapter
Full-text available
This chapter presents state-of-the-art knowledge and cutting-edge innovations in the area of smart cities, advanced structural sensing and monitoring systems along with complementary technological paradigms. Various aspects of smart infrastructure and integrated components of structural health monitoring (SHM) and nondestructive testing and evaluat...
Article
Full-text available
Triboelectric nanogenerators (TENG), which convert mechanical energy (such as ocean waves) from the surrounding environment into electrical energy, have been identified as a green energy alternative for addressing the environmental issues resulting from the use of traditional energy resources. In this experimental design, we propose rolling spheric...
Article
All-optical silicon-photonics-based LiDAR systems allow for desirable features in scanning resolution and speed, as well as leverage other advantages such as size, weight, and cost. Implementing optical circulators in silicon photonics enables bidirectional use of the light path for both transmitters and receivers, which simplifies the system confi...
Article
Full-text available
Aptly enabled by recent developments in additive manufacturing technology, the concept of functionally grading some cementitious composites to improve structural compression forms is warranted. In this work, existing concrete models available in Abaqus Finite Element (FE) packages are utilized to simulate the performance of some cementitious compos...
Article
Full-text available
This study reports the vibrational turbine piezoelectric nanogenerators (VT-PENG) that use magnetic coupling to trigger a set of silicon rubber strips embedded with piezoelectric films for energy harvesting in amphibious environments. The piezo-rubber strips are deflected by the tip-driven magnets in the strip-anchor systems, such that the VT-PENG...
Article
Full-text available
Triboelectric nanogenerators (TENG) have been reported with the advantages of high adaptability and easy integration in recent years, which, however, have been facing with the challenge of effective stimuli in different applications. In this study, we develop magnetic lifting triboelec-tric nanogenerators (ml-TENG) for energy harvesting and active...
Article
Group cognition is a cognitive science concept that studies how groups think, learn, and work. Most research investigates group cognition as a qualitative-oriented phenomenon. From a quantitative perspective, this research proposes a measure equation of group cognition, conducts empirical research during online collaborative problem-solving, and us...
Article
Sand and dust storms (SDS) have long been considered as a type of disastrous weather. Minimizing the severe influence of SDS on the environment and human life has been the focus of many studies. In this paper, we report the principles and characteristics of SDS while mainly focusing on the monitoring technologies of the natural disaster. Space- and...
Article
Architected metastructures offer unprecedented mechanical characteristics due to particular design and assembly of engineered local structures. Here, we study the out-of-plane deflection of plate-like metastructures designed with hexagonal corrugation. Due to the out-of-plane asymmetry of the corrugation, our metaplates develop out-of-plane deflect...
Article
Piezoelectric nanogenerators (PENG) and triboelectric nanogenerators (TENG) have opened an exciting venue to sustainably harvest electrical energy from the environments, which have led to multifunctional applications in different fields. More recently, a paradigm shift has directed to the emerging artificial intelligence (AI) in PENG and TENG, aimi...
Article
Full-text available
In this paper, a new structural damage detection approach is proposed, based on monitoring of the magnetic field intensity variations using smartphones. Experimental and numerical studies are conducted on steel plates to verify the efficiency of the proposed approach. Various damage scenarios are introduced to the steel plates. Then, a smartphone m...
Article
Full-text available
In this study, we propose self-triggered thermomechanical metamaterials (ST-MM) by applying thermomechanical materials in mechanical metamaterials designed with asymmetric structures (i.e., microstructural hexagons and chiral legs). The thermomechanical metamaterials are observed with programmable mechanical response under thermal excitations, whic...
Article
Full-text available
Discovering novel multifunctional metamaterials with energy harvesting and sensing functionalities is likely to be the next technological evolution of the metamaterial science. Here, we introduce a novel concept called self-aware composite mechanical metamaterial (SCMM) that can transform mechanical metamaterials into nanogenerators and active sens...
Article
With the development of computing and information processing techniques, artificial intelligence (AI) has been extensively applied in education. Artificial intelligence in education (AIEd) opens new opportunities, potentials, and challenges in educational practices. In its short history, AIEd has been undergoing several paradigmatic shifts, which a...
Conference Paper
In recent years, significant research efforts have been dedicated to the development and application of functionally graded materials (FGMs) in the control and manipulation of engineered materials and structures. This study proposes an analytical investigation of the postbuckling behavior of a multi-direction anisotropic FGMs beam subjected to bila...
Article
Full-text available
Over the past two decades, machine learning has been gaining significant attention for solving complex engineering problems. Genetic programing (GP) is an advanced framework that can be used for a variety of machine learning tasks. GP searches a program space instead of a data space without a need to pre-defined models. This method generates transp...
Article
Here, we develop the self-adaptive mechanical metamaterials (SMM) using shape memory polymers (SMPs) to obtain the programmable thermo-mechanical response under thermal excitations. The generalized fractional viscoelastic model of SMPs is expanded to the mechanical metamaterials with arbitrary corrugation patterns, and the effective material proper...
Article
Full-text available
Soft robots have been widely studied to accomplish multifunctional on-land tasks in recent years. Here, we develop a type of combustion-enabled soft jumpers that are able to move through multiphase media (e.g. water–air multiphase) with a high-speed of ∼6 times body length per second on average and up to ∼9 times body length per second at most whil...
Article
Full-text available
Designing architected metastructures with desirable characteristics is typically associated with complex fabrication and testing procedures. The challenges ahead for nanoscale fabrication of these engineered structures lead to severe obstacles to investigate their complex design patterns and corresponding mechanical properties. Here, we introduce a...
Article
Architected, structural materials have been reported with promising enhancement of mechanical performance using the structural method (e.g., mechanical metamaterials MM) and the material method (e.g., composite materials). Here, we develop the extensible, plate-like mechanical metamaterials at the microscale using the functionally graded materials...
Article
In recent years, the study of Functionally graded materials (FGM) opened exciting new venues for the control and manipulation of engineered materials and structures. In this study, we investigate bilaterally constrained FGM beams with programmable material functions. The FGM beams are fabricated using 3D printing techniques, and tested t understand...
Article
In recent years, the study of Functionally graded materials (FGM) opened exciting new venues for the control and manipulation of engineered materials and structures. In this study, we investigate bilaterally constrained FGM beams with programmable material functions. The FGM beams are fabricated using 3D printing techniques, and tested t understand...
Article
In recent years, the study of Functionally graded materials (FGM) opened exciting new venues for the control and manipulation of engineered materials and structures. In this study, we investigate bilaterally constrained FGM beams with programmable material functions. The FGM beams are fabricated using 3D printing techniques, and tested t understand...
Article
Postbuckling structural instabilities has been shown to have useful mechanical characteristics such as well deformation resistance and recovery. However, the difficulties in control and programmability, due to the complex interconnected sensitivities to geometric and material properties, severely hinder the phenomenon use in multifunctional structu...
Article
Full-text available
This paper presents an enhanced adaptive global‐best harmony search (EAGHS) to solve global continuous optimization problems. The global‐best HS (GHS) is one of the strongest versions of the classical HS algorithm that hybridizes the concepts of swarm intelligence and conventional HS. However, randomized selection of harmony in the permissible inte...
Conference Paper
Structural instability, in particular postbuckling resulted in predefined constraints, has been performing advantages in many applications given their promising mechanical characteristics. However, inadequate studies have been conducted to effectively control and tune the postbuckling behavior of bilaterally constrained nonuniform beams. This study...
Article
Full-text available
Mechanical metamaterials have opened an exciting venue for control and manipulation of architected structures in recent years. Research in the area of mechanical metamaterials has covered many of their fabrication, mechanism characterisation and application aspects. More recently, however, a paradigm shift has emerged to an exciting research direct...
Article
Full-text available
Portland cement tends to exhibit negative environmental impacts; thus, it is required to find measures that will improve its green credentials. In this study, we report a blended Portland slag cement as an alternative environmentally-friendly building material in order to reduce the total carbon footprint resulted from the production of the ordinar...
Article
Full-text available
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Article
Full-text available
Recently, there has been a growing interest in deploying smart materials as sensing components of structural health monitoring systems. In this arena, piezoelectric materials offer great promise for researchers to rapidly expand their many potential applications. The main goal of this study is to review the state-of-the-art piezoelectric-based sens...
Article
Full-text available
Structural health monitoring (SHM) has been extensively used in civil infrastructures to assess structural condition and situation. Here, we develop a novel type of mechanical sensing technique using the structural instability of cylindrical cells detected by fiber Bragg grating (FBG). The cylinders are fabricated using a 3D printing technique, whi...
Article
Soft actuators have been extensively deployed to trigger motions for multifunctional applications in recent years. It is of desire to optimize the driving method of soft actuators such that to obtain high accelerations. Here, we report a transient driving method (TDM) enabled by the combustion of mixed gases. Experiments are conducted on the hypere...
Article
Architected metastructures with beam-like shape configurations have demonstrated promising mechanical performance due to their corrugation-induced geometric nonlinearity. Extensibility of the metabeams caused by corrugation plays a role in the geometric nonlinearity, which, however, has been omitted in the literature. Motivated by investigating the...
Article
Full-text available
Smart structures have attracted significant research attention in the last decade, mainly due to the capabilities of advanced concrete in electrical resistance-enabled self-sensing. In this study, we present a type of environment-friendly, self-sensing concrete enabled by electrical resistance. Environment-friendly, self-sensing concrete was casted...
Article
Full-text available
Recently, significant attention has been devoted to vaccine-derived poliovirus (VDPV) surveillance due to its severe consequences. Prediction of the outbreak incidence of VDPF requires an accurate analysis of the alarming data. The overarching aim to this study is to develop a novel hybrid machine learning approach to identify the key parameters th...
Article
Full-text available
Internet of Things (IoT) is changing the world by connecting billions of physical and virtual objects with distinctive identities to the Internet. This fusion results in generating huge volumes of data that might not be manageable using today's storage and data analytics technologies. Although cloud computing offers services to tackle this issue at...
Article
Full-text available
The massive amount of data generated by structural health monitoring (SHM) systems usually affects the system’s capacity for data transmission and analysis. This paper proposes a novel concept based on the probability theory for data reduction in SHM systems. The beauty salient feature of the proposed method is that it alleviates the burden of coll...
Article
Full-text available
Realistically predicting earthquake is critical for seismic risk assessment, prevention and safe design of major structures. Due to the complex nature of seismic events, it is challengeable to efficiently identify the earthquake response and extract indicative features from the continuously detected seismic data. These challenges severely impact th...
Article
Plate mechanical metamaterials with nanoscale thickness demonstrate significantly enhanced mechanical properties compared to solid plates that lack micropatterning. We have previously reported how the honeycomb corrugation greatly increases the bending stiffness, but any functional applications also require a full understanding of the tensile prope...