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Dive into the research topics where Daniel Robertson is active.

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Featured researches published by Daniel Robertson.


Journal of Experimental Botany | 2015

Preventing lodging in bioenergy crops: a biomechanical analysis of maize stalks suggests a new approach

Greg Von Forell; Daniel Robertson; Shien Yang Lee; Douglas D. Cook

The hypothetical ideal for maize (Zea mays) bioenergy production would be a no-waste plant: high-yielding, with silage that is easily digestible for conversion to biofuel. However, increased digestibility is typically associated with low structural strength and a propensity for lodging. The solution to this dilemma may lie in our ability to optimize maize morphology using tools from structural engineering. To investigate how material (tissue) and geometric (morphological) factors influence stalk strength, detailed structural models of the maize stalk were created using finite-element software. Model geometry was obtained from high-resolution x-ray computed tomography (CT) scans, and scan intensity information was integrated into the models to infer inhomogeneous material properties. A sensitivity analysis was performed by systematically varying material properties over broad ranges, and by modifying stalk geometry. Computational models exhibited realistic stress and deformation patterns. In agreement with natural failure patterns, maximum stresses were predicted near the node. Maximum stresses were observed to be much more sensitive to changes in dimensions of the stalk cross section than they were to changes in material properties of stalk components. The average sensitivity to geometry was found to be more than 10-fold higher than the average sensitivity to material properties. These results suggest a new strategy for the breeding and development of bioenergy maize varieties in which tissue weaknesses are counterbalanced by relatively small increases (e.g. 5%) in stalk diameter that reduce structural stresses.


American Journal of Botany | 2015

On measuring the bending strength of septate grass stems.

Daniel Robertson; Simeon Smith; Douglas D. Cook

UNLABELLED • PREMISE OF THE STUDY Reliable testing methodologies are a fundamental tenet of scientific research. However, very little information is found in the literature explaining how to accurately measure the structural bending strength of plant stems. It was hypothesized that the most commonly employed loading configuration used in bending experiments (placement of loading anvil at an internodal region of the stem or stalk) may significantly alter test results and introduce errors in bending strength measurements of plant stems.• METHODS Four types of mechanical tests were performed on bamboo (Phyllostachys aurea), giant reed (Arundo donax), and maize (Zea mays) to investigate how different loading configurations employed during three-point bending experiments affect test results of septate grass stems and to develop a testing protocol that provides reliable measures of stalk bending strength.• RESULTS RESULTS confirmed the hypothesis that internodal-loaded three-point bending test can produce erroneous bending strength measurements. This testing methodology causes plant stems to break prematurely and produces failure types and patterns incongruent with stalks that broke in their natural (in situ) environment. In contrast, a modified test configuration produces natural failure patterns and more accurate measurements of bending strength.• CONCLUSION Reliable measurements of stalk bending strength can be obtained by maximizing the span length of bending tests and placing the loading anvil at stronger and denser nodal tissues. These results are relevant to ecological and evolutionary plant biomechanics studies as well as agronomic breeding studies focused on measuring plant phenotypes such as stalk lodging strength, or on improving bending strength of septate plant stems.


Journal of The Mechanical Behavior of Biomedical Materials | 2013

The lumbar supraspinous ligament demonstrates increased material stiffness and strength on its ventral aspect

Daniel Robertson; R. Willardson; D. Parajuli; A. Cannon; Anton E. Bowden

The present work represents the first reported quantified anisotropic, inhomogeneous material constitutive data for the human supraspinous ligament (SSL). Multi-axial material data from 30 human cadaveric SSL samples was collected from distinct locations (dorsal, midsection, and ventral). A structurally motivated strain-energy based continuum model was employed to characterize anisotropic constitutive parameters for each sample. The anisotropic constitutive response correlated well with the reported experimental data (R2>0.97). Results show that in the lumbar spine both the material stiffness and stress at failure were significantly higher in the ventral region of the SSL as compared with the dorsal region (p<0.05). In the along fiber direction a higher stiffness and stress at failure were observed when compared to the transverse direction. These results indicate that modeling spinal ligaments using the hyperelastic line elements that have typically been used may be insufficient to capture their complex material response.


PLOS ONE | 2016

Comprehensive, Population-Based Sensitivity Analysis of a Two-Mass Vocal Fold Model.

Daniel Robertson; Matías Zañartu; Douglas R. Cook

Previous vocal fold modeling studies have generally focused on generating detailed data regarding a narrow subset of possible model configurations. These studies can be interpreted to be the investigation of a single subject under one or more vocal conditions. In this study, a broad population-based sensitivity analysis is employed to examine the behavior of a virtual population of subjects and to identify trends between virtual individuals as opposed to investigating a single subject or model instance. Four different sensitivity analysis techniques were used in accomplishing this task. Influential relationships between model input parameters and model outputs were identified, and an exploration of the model’s parameter space was conducted. Results indicate that the behavior of the selected two-mass model is largely dominated by complex interactions, and that few input-output pairs have a consistent effect on the model. Results from the analysis can be used to increase the efficiency of optimization routines of reduced-order models used to investigate voice abnormalities. Results also demonstrate the types of challenges and difficulties to be expected when applying sensitivity analyses to more complex vocal fold models. Such challenges are discussed and recommendations are made for future studies.


Journal of The Mechanical Behavior of Biomedical Materials | 2013

Thoracolumbar spinal ligaments exhibit negative and transverse pre-strain

Daniel Robertson; Gregory A. Von Forell; Jeremy Alsup; Anton E. Bowden

The present work represents the first reported bi-axial spinal ligament pre-strain data for the thoracic and lumbar spine. Ligament pre-strain (in-situ strain) is known to significantly alter joint biomechanics. However, there is currently a lack of comprehensive data with regards to spinal ligament pre-strain. The current work determined the pre-strain of 71 spinal ligaments (30 anterior longitudinal ligaments, 27 supraspinous ligaments and 14 interspinous ligaments). The interspinous ligament and the anterior longitudinal ligament exhibited bi-axial pre-strain distributions, demonstrating they are not uniaxial structures. The supraspinous ligament frequently exhibited large amounts of negative pre-strain or laxity suggesting it makes no mechanical contribution to spinal stability near the neutral posture. Upon implementing multi-axial pre-strain results into a finite element model of the lumbar spine, large differences in spinal biomechanics were observed. These results demonstrate the necessity of accounting for ligament pre-strain in biomechanical models. In addition, the authors present a unique experimental method for obtaining ligament pre-strain that presents a number of advantages when compared to standard techniques.


Journal of The Mechanical Behavior of Biomedical Materials | 2014

Unrealistic statistics: how average constitutive coefficients can produce non-physical results.

Daniel Robertson; Douglas D. Cook


Crop Science | 2014

An Improved Method for Accurate Phenotyping of Corn Stalk Strength

Daniel Robertson; Simeon Smith; Brian W. Gardunia; Douglas D. Cook


Crop Science | 2015

Corn Stalk Lodging: A Forensic Engineering Approach Provides Insights into Failure Patterns and Mechanisms

Daniel Robertson; Margaret Julias; Brian W. Gardunia; Ty Barten; Douglas D. Cook


Journal of Biomechanics | 2016

The generic modeling fallacy: Average biomechanical models often produce non-average results!

Douglas D. Cook; Daniel Robertson


Crop Science | 2017

Maize Stalk Lodging: Morphological Determinants of Stalk Strength

Daniel Robertson; Margaret Julias; Shien Yang Lee; Douglas D. Cook

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Douglas D. Cook

New York University Abu Dhabi

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Margaret Julias

New York University Abu Dhabi

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Shien Yang Lee

New York University Abu Dhabi

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Simeon Smith

New York University Abu Dhabi

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Jeremy Alsup

Brigham Young University

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A. Cannon

Brigham Young University

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